[Kevin Praet (Adm)]

Hey @Brian,

Thanks for getting in touch! I just forwarded over our placeholder series would you mind confirming you recieved? Each placeholder will be updated with our Microsoft Teams credintials one day prior to each meeting.

Thanks again!​

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————
——————————————-
Original Message:
Sent: 02-08-2022 14:33
From: Brian Mori
Subject: Upcoming February (2022) Community Conversation

Hello Kevin,

 

Can you add me the to the invite list for the calendar notices.

 

Thanks,

 

Brian

 

Brian Mori, Director of Data Analytics

Generation Strategy & Innovation

Integrated Fleet Management
Ontario Power Generation

800 Kipling Ave, KR2-206, Toronto, ON M8Z 5G5  W (289) 440-3725  E brian.mori@opg.com

 

 

 

 

Original Message:
Sent: 2/8/2022 12:31:00 PM
From: Kevin Praet
Subject: RE: Upcoming February (2022) Community Conversation

Hello Data Science Community Members,

I hope all is well! We are one week away from our February (2022) Data Science Community Conversation and want to get you excited about the session taking place. On Tuesday, February 15th at 1:00 PM CT, we’ll be joined by Dominic Ciarlette, Senior Project Engineer – Data Solutions at EN Engineering, who will be leading a discussion around, “Sifting Data for Suspicious Records with Machine Learning.” As this discussion will be interactive, we encourage you to come prepared with questions and your insight.

Learn more about this session and our speaker below!

Session Description:

When managing utility assets, public safety and federal regulations demand the most accurate data possible. Using machine learning, EN Engineering has developed a model that identifies individual records likely to contain erroneous data. This improves efficiency in correcting datasets and reveals trends that can then be analyzed to strengthen the accuracy of all records.

Session Takeaways:
– Identify data within a set most likely to be erroneous
– Improve accuracy of large datasets through machine learning
– Reveal and analyze trends in large datasets using data models

Speaker: Dominick Ciarlette, Senior Project Engineer – Data Solutions (EN Engineering)

Mr. Dominic Ciarlette is Senior Project Engineer and engineering consultant at EN Engineering with expertise in data analysis and modeling activities to support system design and operation.

___________________________________________________________________________________________________________________________________________________

A calendar placeholder for this community conversation was sent out via my alternate email address (kpraet@sg.utilityanalytics.com). If you are not seeing a placeholder on your calendar for Tuesday, February 15th at 1:00 PM CT, please reach out to me so I can be sure you are forwarded the invite an alternate way.

Thanks and I look forward to connecting next week!

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————

[Kevin Praet (Adm)]

Hey Cristian,

Thanks for reaching out! I just forwarded over our Customer Analytics placeholder series (including meetings for February – April). Would you mind confirming you recieved? 

Thanks and I look forward to seeing you online next week!

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————
——————————————-
Original Message:
Sent: 02-03-2022 09:19
From: cristian easton
Subject: Upcoming February (2022) Community Conversations

Can you forward me the feb 8^th meeting please?

 

Sincerely,

 

Cristian Easton

 

Original Message:
Sent: 2/3/2022 9:01:00 AM
From: Kevin Praet
Subject: Upcoming February (2022) Community Conversations

Hello UAI Members,

I hope all is well! This month we have an action-packed Community Conversation schedule planned and cannot wait to connect with you across our eight communities. To learn more about the Community Conversations taking place in February (2022), please visit our Events Calendar where we’ve included session descriptions and more info on each of our speakers.

For your convenience we’ve also highlighted our upcoming February schedule below:

 

• February 8 (2022) – Customer Analytics Community Conversation – “Reduce Opt-outs and Customer Fatigue with Next Best Offer Modeling”
  • Speaker:
    • Jeff Yankley, Director of Customer Insights & Analytics (Consumers Energy)
• February 15 (2022) – Data Science Community Conversation – “Sifting Data for Suspicious Records with Machine Learning“
  • Speaker:
    • Dominic Ciarlette, Senior Project Engineer – Data Solutions (EN Engineering)
• February 16 (2022) – Natural Gas Analytics Community Conversation – “Cost of Service”
  • Facilitator:
    • David Baron, Director, Performance Management and Organizational Strategy (SoCalGas)
  • Panelists:
    • Krista Shurtz, P.E., Director – Rates and Fuels (City Utilities)
    • Amelia Badders, Senior Director of Strategic Pricing and Cost Recovery (CPS Energy)
    • Jordan Williams, Manager of Regulatory Rates (TECO-Peoples Gas)
• February 16 (2022) – Grid Analytics Community Conversation – “Grid Echo”
  • Speaker:
    • Hagen Haentsch, Director of Grid Operations (Oncor)
• February 17 (2022) – AAT Community Conversation – “How Oncor Synchronized Disparate Data with Grid Echo Application“
  • Speakers:
    • Chris Herndon, Customer Analytics and Data Manager (Oncor)
    • Salah Mahdi, Technical Support Manager, Electric Delivery (Oncor)
• February 22 (2022) – Safety Analytics Community Conversation – “Enhancing Operational Efficiency and Safety by Optimizing Routes and Work Schedule Assignments”
  • Speakers:
    • Josh Power, Capability Lead, Advanced Analytics, Automation, & AI (Oncor)
    • Miguel Morales, Data Scientist (Oncor)
    • Daniel Gonzales-Rubio, Manager AMS Ops (Oncor)
    • Erik Swedeen, Sr AMS Data Analyst (Oncor)
• February 23 (2022) Asset Health Analytics Community Conversation – “The Impact of Climate Change to Electric Transmission Assets”
  • Speakers:
    • Pavel Ozhogin,Director, Data Science & Solution Development (National Grid)
    • Srikant Vadali, Data Science Manager (National Grid)
• February 24 (2022) Enterprise Analytics Community Conversation – “Creating an Analytics Community of Practice”
  • Speaker:
    • Ben Ettlinger, IT Data Analytics Architect (NYPA)

 

If you are not part of the UAI Communities, you can learn more about them on our Current Analytics Communities page on UAI Connect. All UAI Utility Members receive unlimited access to UAI Communities and the monthly Community Conversations. If you would like to join one or all of the UAI Communities, please submit a “Request to Join“.

 

Please let me know if you have any questions. We look forward to seeing you online this month!

Thanks!

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————

[Kevin Praet (Adm)]

Hey Luis,

Thanks for getting in touch! I actually just uploaded the recording of this session to our “Asset Health Analtics Library” HERE. We’re still waiting on an updated presentation from our speakers but will upload along with the recording once we have available. If you have any issues accessing the recording please let me know.

Thanks again!

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————
——————————————-
Original Message:
Sent: 02-01-2022 12:42
From: Luis Selvera
Subject: Post-Meeting Evaluation for January 26, 2022

Has this been posted?

——————————
Luis Selvera
Machine Learning Engineer 2
CPS Energy
——————————

Original Message:
Sent: 01-26-2022 16:00
From: Kevin Praet
Subject: Post-Meeting Evaluation for January 26, 2022

Hello Asset Health Analytics Community Members,

Thanks for attending today’s (1/26/2022) Community Conversation on “A Python Experiment: Identification of High Voltage Transmission Line Asset Renewal Initiatives Using Structure-Based Information.” Continuous improvement is an important goal for us in everything we do at UAI, so your feedback on today’s call is very important. Your feedback will tell us how we did, provide ideas for continuous improvement efforts, and will even provide you an opportunity to submit topics suggestions for future Asset Health Analytics Community Conversations.

Please take the post-meeting evaluation at the following link: https://www.surveymonkey.com/r/UAIComm2022

I will be uploading a link to today’s slide deck and recording soon. Please reach out to me if you have any questions or need anything.

Thanks!

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————

[Kevin Praet (Adm)]

Hello Enterprise Analytics Community Members,

I hope all is well! We are one week away from our January (2022) Enterprise Analytics Community Conversation and want to get you excited about the session taking place. On Thursday, January 27th at 1:00 PM CT, we’ll be joined by Beth Massey, PhD, Director, Connected Analytics at The Energy Authority (TEA), who will be leading a discussion around, How Data Analytics can Drive Strategic Thinking Across the Utility. As this discussion will be interactive, we encourage you to come prepared with questions and your insight.

Learn more about this session and our speaker below!

Session Description:

Data is not only a critical operational asset it is also a strategic asset for utilities. It’s important to be able to develop strategic use cases that can drive effective deployment of digital technologies for a utility and optimize the use of the data being collected and managed across the enterprise. This talk will discuss how analytics maturity builds competitive advantage and why innovation is key to a successful digital transition.

Speaker: Beth Massey, PhD, Director, Connected Analytics (The Energy Authority)

As The Energy Authority’s director of Connected Analytics, Dr. Elizabeth Massey brings over 20 years of experiencein research and development includingleading-edge technology innovation and full lifecycle projectdelivery.

Dr. Massey has broad-based experience managing diverse and complex teams. Her specialtiesinclude demand-side energyresearch, data science, machine learning algorithms, computer vision techniques, software development, project management, and technicalproposal writing.She has also significant experience in strategic programs planning, having delivered on large-scale projects for the US Department of Defense and NASA.

Prior to Joining TEA, Dr. Massey served as the head of research at the International Energy Research Centre in Cork, Ireland, where she led a team of 28 research scientists and engineers. Along withher team, she performed energy research that translated business needs into research objectives, focusing on technology enablers that drive innovation for solving society’s grand challenges.

Dr. Massey received her Ph.D.in computer science from Lincoln University in Lincolnshire, UK, her master’s degree in Software Engineering and Mathematics from the Florida Institute of Technology and her bachelor’sin Computer Information Systems from Troy State University. She has authored several publicationsin the areas of imageprocessing, renewable energy communities and blockchainincluding a book chapter on citizen engagement.

___________________________________________________________________________________________________________________________________________________

A calendar placeholder for this community conversation was sent out via my alternate email address (kpraet@sg.utilityanalytics.com). If you are not seeing a placeholder on your calendar for Thursday, January 27th at 1:00 PM CT, please reach out to me so I can be sure you are forwarded the invite an alternate way.

Thanks and I look forward to connecting next week!

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————
——————————————-
Original Message:
Sent: 01-04-2022 16:00
From: Kevin Praet
Subject: Upcoming January (2022) Community Conversation

Hello Enterprise Analytics Community Members,

Happy New Year and I hope all is well! With January just kicking off, I wanted to reach out and get you excited for our January (2022) Enterprise Analytics Community Conversation. On Thursday, January 27th at 1:00 PM CT, we will be joined by Beth Massey, PhD, Director, Connected Analytics at The Energy Authority (TEA), who will be leading a discussion around, How Data Analytics can Drive Strategic Thinking Across the Utility. I’ll be providing more information on this session one week prior to our meeting but you can always learn more about each of our upcoming Community Conversations on our Events Page HERE.

Our latest IT update allows me to send meeting placeholders directly to your calendars through my alternate email address kpraet@sg.utilityanalytics.com. I sent out invitations for this community, and each of our other communities, at the end of last month. If you did not receive a calendar invitation let me know so I can help troubleshoot. As this seems to be an issue with some of our members’ firewalls, we recommend whitelisting my new email address kpraet@sg.utilityanalytics.com to ensure any invites don’t go to your spam/junk folders.

Again please let me know if you have any questions/concerns or do not have a calendar placeholder on your calendar.

Thanks and I look forward to connecting with you all this month!

 

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————

[Kevin Praet (Adm)]

Hello Asset Health Analytics Community Members,

I hope all is well! We are one week away from our January (2022) Asset Health Analytics Community Conversation and want to get you excited about the session taking place. On Wednesday, January 26th at 2:00 PM CT, we’ll be joined by Mike White, Local Relations Representative & Data Scientist, and Justin Nettesheim, Sr. Asset Manager, at American Transmission Company who will be leading a discussion around “A Python Experiment: Identification of High Voltage Transmission Line Asset Renewal Initiatives Using Structure-Based Information.” As this discussion will be interactive, we encourage you to come prepared with questions and your insight.

Learn more about this session and our speakers below!

Session Description:

Analysts review several factors when determining if line maintenance or rebuilds are required. Many of these factors examine the status of a particular line as a whole, rather than based on variables specific to individual transmission structures (poles).

Based on more robust data collection and powerful new modeling tools, this project attempted to use machine learning and deep learning methods to automate the process of predicting the need for a transmission line rebuild based largely on information at the structure level.

The session will include information on how Mike used information at the structure and line level to train models based on a binary classification problem of determining necessity for a t-line rebuild. The presentation will describe the problem, methods used, results and conclusions, as well as next steps. All analysis was performed using python, so Mike will provide a high-level overview of the methods and techniques (not to include a deep dive into the code, scripting or python). Please bring your questions, as this session will include Q&A and open discussion.

Speaker: Mike White, Local Relations Representative & Data Scientist (American Transmission Company)

Mike White joined ATC full time in 2017 where he serves a variety of communication and public relations roles. Mike also serves as a core team member of ATC’s data analytics, AI & machine learning initiative.  

In 2002 Mike co-founded The Shop Consulting and served as President of one of Wisconsin’s premier public affairs and strategic communication firms. Prior to forming The Shop he graduated from the University of Wisconsin-Madison and worked in both policy and technology positions for the Wisconsin Legislature. He earned a master’s degree in Data Science from the University of Wisconsin Data Science Program. 

Speaker: Justin Nettesheim, Sr. Asset Manager (American Transmission Company)

Justin Nettesheim is a Transmission Line Asset Manager at ATC and has been with ATC since 2012 in different roles.  He is a Professional Engineer licensed in the state of Wisconsin and has a master’s in civil engineering with emphasis in Construction Engineering Management from UW-Madison. 

____________________________________________________________________________________________________________________________________________________

A calendar placeholder for this community conversation was sent out via my alternate email address (kpraet@sg.utilityanalytics.com). If you are not seeing a placeholder on your calendar for Wednesday, January 26th at 2:00 PM CT, please reach out to me so I can be sure you are forwarded the invite an alternate way.

Thanks and I look forward to connecting next week!

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————
——————————————-
Original Message:
Sent: 01-04-2022 16:00
From: Kevin Praet
Subject: Upcoming January (2022) Community Conversation

Hello Asset Health Analytics Community Members,

Happy New Year and I hope all is well! With January just kicking off, I wanted to reach out and get you excited for our January (2022) Asset Health Analytics Community Conversation. On Wednesday, January 26th at 2:00 PM CT, we will be joined by Mike White, Local Relations Representative & Data Scientist, and Justin Nettesheim, Sr. Asset Manager, at American Transmission Company who will be leading a discussion around A Python Experiment: Identification of High Voltage Transmission Line Asset Renewal Initiatives Using Structure-Based Information. I’ll be providing more information on this session one week prior to our meeting but you can always learn more about each of our upcoming Community Conversations on our Events Page HERE.

Our latest IT update allows me to send meeting placeholders directly to your calendars through my alternate email address kpraet@sg.utilityanalytics.com. I sent out invitations for this community, and each of our other communities, at the end of last month. If you did not receive a calendar invitation let me know so I can help troubleshoot. As this seems to be an issue with some of our members’ firewalls, we recommend whitelisting my new email address kpraet@sg.utilityanalytics.com to ensure any invites don’t go to your spam/junk folders.

Again please let me know if you have any questions/concerns or do not have a calendar placeholder on your calendar.

Thanks and I look forward to connecting with you all this month!

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————

[Kevin Praet (Adm)]

Thanks for getting in touch Bobby! This presentation will be uploaded to our Data Science Community Library within the next few days (I’ll send out a message to the group once its available). The “Data Science Library” includes all of our past presentation recordings and can be a great way to catch up on any Community Conversations you may have missed in the past. Let me know if you have any questions or issues accessing. 

Thanks again!

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————
——————————————-
Original Message:
Sent: 01-18-2022 15:03
From: Robert Meier
Subject: Post-Meeting Evaluation for January 18, 2022

Where do they get uploaded to?

Respectfully,

Bobby
__________________
Robert Meier | Sr. Quality Data Analyst
Corporate Safety and Health
Work: 219-647-6568 | Cell: 219-384-1246
Email: rmeier@nisource.com
801 E 86th Ave, Merrillville IN, 46410.

 
Relentless champions of safety, service, and comfort

If you are not the intended recipient: Please do not disclose, copy, distribute or use this email or attachment for any purpose. Please notify us by return email of this error and delete the email and any copies from your system. Thank you for your cooperation.

Original Message:
Sent: 1/18/2022 3:01:00 PM
From: Kevin Praet
Subject: Post-Meeting Evaluation for January 18, 2022

Hello Data Science Community Members,

Thanks for attending today’s (1/18/2022) Community Conversation on “Storytelling With Data.” Continuous improvement is an important goal for us in everything we do at UAI, so your feedback on today’s call is very important. Your feedback will tell us how we did, provide ideas for continuous improvement efforts, and will even provide you an opportunity to submit topics suggestions for future Data Science Community Conversations.

Please take the post-meeting evaluation at the following link:

https://www.surveymonkey.com/r/UAIComm2022

I will be uploading a link to today’s slide deck soon. Please reach out to me if you have any questions or need anything.

Thanks!

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————

[Kevin Praet (Adm)]

Hello Safety Analytics Community Members,

I hope all is well! We are one week away from our January (2022) Safety Analytics Community Conversation and want to get you excited about the session taking place. On Tuesday, January 25th at 2:00 PM CT, we’ll be joined by Paul Tranisi, Corporate Safety System and Data Analyst from Omaha Public Power District (OPPD) who will be leading a discussion around, “Safety Index – The Overall Health of Your Safety Programs.” As this discussion will be interactive, we encourage you to come prepared with questions and your insight.

Learn more about this session and our speaker below!

Session Description:

This session will provide an overview of Omaha Public Power District’s Safety Index as well as some of the nuances that make it original to OPPD. Additionally, by the end of the presentation, you will understand the principles behind building a safety index, why a Safety Index would provide value for your company, as well as some lessons learned and tips on implementation.

Speaker: Paul Tranisi, Corporate Safety System and Data Analyst (Omaha Public Power District)

Paul Tranisi is a graduate of Creighton University with a degree in MIS. He began his career in IT as a programmer/developer for 14years and has since moved into Safety & Technical Training as a Corporate Safety Systems & Data Analyst. For the last 4 years Paul’s primary goals have been utilization of systems and dataas a means toprevent injuries. 

_____________________________________________________________________________________________________________________________________________________

A calendar placeholder for this community conversation was sent out via my alternate email address (kpraet@sg.utilityanalytics.com). If you are not seeing a placeholder on your calendar for Tuesday, January 25th at 2:00 PM CT, please reach out to me so I can be sure you are forwarded the invite an alternate way.

Thanks and I look forward to connecting next week!

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————

[Kevin Praet (Adm)]

Hello Grid Analytics Community Members,

I hope all is well! We are one week away from our January (2022) Grid Analytics Community Conversation and want to get you excited about the session taking place. On Wednesday, January 19th at 1:00 PM CT, we’ll be joined by Abel Debela, Machine Learning Engineer at Tacoma Power, who will be leading a discussion around, “Power Outage Reports out of Relational Database.”  As this discussion will be interactive, we encourage you to come prepared with questions and your insight.

Learn more about this session and our speaker below!

Session Description:

Power outages are one of the utility companies’ nightmares that we would like to minimize by all possible means. When there is an outage, we would like to know the cause of the outage, how many customers are affected, and other blackout features. This session will present how we improved old reports to reflect outages and incidents close to real-time.

Speaker: Abel Debela, Machine Learning Engineer (Tacoma Power)

Abel Debela is a data engineer, and he has been practicing data analytics work in different domains before Tacoma Public Utility. He recently graduated from UW Tacoma with a Business Analytics major. He started his career as a software engineer, and later, he was attracted to data that he served as ETL and report developer to non-profit and corporate industry. In his private life, Abel is married and enjoys playing soccer and mountain biking with his son. 
____________________________________________________________________________________________________________________________________________________

A calendar placeholder for this community conversation was sent out via my alternate email address (kpraet@sg.utilityanalytics.com). If you are not seeing a placeholder on your calendar for Wednesday, January 19th at 1:00 PM CT, please reach out to me so I can be sure you are forwarded the invite an alternate way.

Thanks and I look forward to connecting next week!

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————
——————————————-
Original Message:
Sent: 01-04-2022 16:00
From: Kevin Praet
Subject: Upcoming January (2022) Community Conversation

Hello Grid Analytics Community Members,

Happy New Year and I hope all is well! With January just kicking off, I wanted to reach out and get you excited for our January (2022) Grid Analytics Community Conversation. On Wednesday, January 19th at 1:00 PM CT, we will be joined by Abel Debela, Machine Learning Engineer at Tacoma Power, who will be leading a discussion around, Power Outage Reports out of Relational Database. I’ll be providing more information on this session one week prior to our meeting but you can always learn more about each of our upcoming Community Conversations on our Events Page HERE.

Our latest IT update allows me to send meeting placeholders directly to your calendars through my alternate email address kpraet@sg.utilityanalytics.com. I sent out invitations for this community, and each of our other communities, at the end of last month. If you did not receive a calendar invitation let me know so I can help troubleshoot. As this seems to be an issue with some of our members’ firewalls, we recommend whitelisting my new email address kpraet@sg.utilityanalytics.com to ensure any invites don’t go to your spam/junk folders.

Again please let me know if you have any questions/concerns or do not have a calendar placeholder on your calendar.

Thanks and I look forward to connecting with you all this month!

 

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————

[Kevin Praet (Adm)]

Hello Natural Gas Analytics Community Members,

I hope all is well! We are one week away from our January (2022) Natural Gas Analytics Community Conversation and want to get you excited about the session taking place. On Wednesday, January 19th at 11:00 AM CT, we’ll be joined by Rachel Mattix, Sr. Data Performance Analyst NGBU and Brian Wilkerson, Sr. Manager, AI Solutions at Duke Energy, who will be leading a discussion around, “Build or Buy? Reducing Damages Using Internal AI”. As this discussion will be interactive, we encourage you to come prepared with questions and your insight.

Learn more about this session and our speakers below!

Session Description:

Duke Energy designed and implemented an 811-ticket risk ranking model as part of a partnership between the Natural Gas Business Unit and the MADLab. At the time, this service was being provided by a third-party vendor in Ohio and Kentucky, but the business chose to build internally for North Carolina. Rachel and Brian will walk you through the challenges and successes of their citizen data science partnership, from user-centric MVP to implementation and iteration in less than a year.

Speaker: Rachel Mattix, Sr. Data Performance Analyst NGBU (Duke Energy)

Rachel Mattix, Sr. Data Performance Analyst, joined Piedmont Natural Gas in 2015 as part of the Leadership Development Program, working in Risk Management and SOX. During her time in the Natural Gas Business Unit, Rachel provided regulatory and gas accounting process improvement support before joining Gas Data Performance and Analytics. In the past several years, Rachel has partnered with groups across the business to optimize the disconnect for non-pay process, develop a mechanism for the field to track weekly performance and respond to customer needs, and is currently supporting the effort to achieve net-zero methane emissions by 2030. She has education in Communications, Design Thinking, Lean Six Sigma, and Agile.  

Speaker: Brian Wilkerson, Sr. Manager, AI Solutions (DukeEnergy)

Brian Wilkerson is Sr Manager, AI Solutions and has been a team member of Duke Energy for 16 years. Throughout the last 4 years, Brian has been learning and leveraging Artificial Intelligence to accelerate Business Transformation. He is the co-founder of Duke Energy’s “Madlab” (Machine Learning, Artificial Intelligence & Deep Learning), a team organized to be a “one stop shop” for delivering, deploying, and monitoring AI models. Brian has a passion for AI and loves to discover new ways in which it can solve business problems. He holds a Degree in Computer Science and vows to never stop learning! 
_________________________________________________________________________________________________________________________________________________

A calendar placeholder for this community conversation was sent out via my alternate email address (kpraet@sg.utilityanalytics.com). If you are not seeing a placeholder on your calendar for Wednesday, January 19th at 11:00 AM CT, please reach out to me so I can be sure you are forwarded the invite an alternate way.

Thanks and I look forward to connecting next week!

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————
——————————————-
Original Message:
Sent: 01-04-2022 16:00
From: Kevin Praet
Subject: Upcoming January (2022) Community Conversation

Hello Natural Gas Analytics Community Members,

Happy New Year and I hope all is well! With January just kicking off, I wanted to reach out and get you excited for our January (2022) Natural Gas Analytics Community Conversation. On Wednesday, January 19th at 11:00 AM CT, we will be joined by Rachel Mattix, Sr. Data Performance Analyst NGBU and Brian Wilkerson, Sr. Manager, AI Solutions at Duke Energy who will be leading a discussion around, Build or Buy? Reducing Damages Using Internal AI. I’ll be providing more information on this session one week prior to our meeting but you can always learn more about each of our upcoming Community Conversations on our Events Page HERE.

Our latest IT update allows me to send meeting placeholders directly to your calendars through my alternate email address kpraet@sg.utilityanalytics.com. I sent out invitations for this community, and each of our other communities, at the end of last month. If you did not receive a calendar invitation let me know so I can help troubleshoot. As this seems to be an issue with some of our members’ firewalls, we recommend whitelisting my new email address kpraet@sg.utilityanalytics.com to ensure any invites don’t go to your spam/junk folders.

Again please let me know if you have any questions/concerns or do not have a calendar placeholder on your calendar.

Thanks and I look forward to connecting with you all this month!

 

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————

[Kevin Praet (Adm)]

Hello Data Science Community Members,

I hope all is well! We are one week away from our January (2022) Data Science Community Conversation and want to get you excited about the session taking place. On Tuesday, January 18th at 1:00 PM CT, we’ll be joined by Sabine Devins, Digital storyteller, content maker, and speaker, who will be leading a discussion around, Storytelling with Data. As this discussion will be interactive, we encourage you to come prepared with questions and your insight.

Learn more about this session and our speaker below!

Session Description:

Behind every bit of data lies a story – but how do you tell it in a way that doesn’t just sound like you’re talking about a roller coaster? Or listing off a lot of numbers? Or – more importantly – how do you tell a story with data that people can relate to or use to make better decisions? Journalist and editor Sabine Devins will take you through the fundamentals of finding a story, crafting a story and presenting a story with examples from her work as the Managing Editor of the award-winning INFO.GRAPHICS digital magazine. We’ll look at the stories and how we applied certain principles and how and why to apply storytelling to your work.

Speaker: Sabine Devins, Digital storyteller, content maker, and speaker

Sabine Devins is a freelance content director and journalist who likes math. She’s produced stories for Handelsblatt Online, the Wall Street Journal, Voice of America, National Geographic, and Scientific American. She’s also done conceptual work for companies like Lufthansa, the Federal Environmental Ministry of Germany, and the Bundesliga. Born in Canada, she lives in Berlin with her family.  

________________________________________________________________________________________________________________________________________________

A calendar placeholder for this community conversation was sent out via my alternate email address (kpraet@sg.utilityanalytics.com). If you are not seeing a placeholder on your calendar for Tuesday, January 18th at 1:00 PM CT, please reach out to me so I can be sure you are forwarded the invite an alternate way.

Thanks and I look forward to connecting next week!

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————

[Kevin Praet (Adm)]

Hello UAI Members,

I hope all is well! Our UAI Connect Engagement Challenge has been live for just about two weeks, and in that time we’ve already seen a big spike in engagement through our communities, discussion forums, and general profile completeion. Thank you to everyone who has taken time to participate thus far!

Just a quick reminder on the rules: This game is open to all current UAI members and is designed to help you maximize your engagement throughout UAI Connect. As part of this game, we provide clear direction on how to get more involved and how to make the most of your experience on UAI Connect. By getting more involved within UAI’s communities, discussions forums, and completing your profile on UAI Connect (just to name a few things), you will in turn gain more value from the network on UAI Connect, which includes some of the brightest and smartest minds within utility analytics. For a complete breakdown of how to earn points during this game and the scoring, please refer to our “Gamification Scoring Sheet” found in the Ask Your Network Library.

In addition to getting more active on Connect, we will be selecting three winners at the end of December (to be announced Monday, January 3, 2022) based off of their scoring. Please note our scoring will only include data between October 8 and December 17, 2021, and previous scoreswill notbe included so that everyone starts with a clean slate for the game. 

Just in case you’re still not excited, see what great prized we have picked out for our winners!

• 1^st place – Webcam/microphone bundle
• 2^nd place – Lume Cube
• 3^rd place – $25 Amazon gift card

If you have any questions on our UAI Connect Engagement Challenge please reach out to me at kpraet@utilityanalytics.com otherwise we thank you again for your participation and wish you the best of luck.

Thanks!

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————
——————————————-
Original Message:
Sent: 10-08-2021 11:30
From: Kevin Praet
Subject: Introducing the First Gamification Challenge on UAI Connect!

Hello UAI Members,

We are excited to introduce our first UAI Connect Engagement Challenge! The goal of this challenge is to help you become more engaged on UAI Connect in a fun and interesting way! Earn points along the way for activities you perform and possibly win prizes at the end of the gaming period.

This game is open to all current UAI members and is designed to help you maximize your engagement throughout UAI Connect. As part of this game, we provide clear direction on how to get more involved and how to make the most of your experience on UAI Connect. By getting more involved within UAI’s communities, discussions forums, and completing your profile on UAI Connect (just to name a few things), you will in turn gain more value from the network on UAI Connect, which includes some of the brightest and smartest minds within utility analytics. For a complete breakdown of how to earn points during this game and the scoring, please refer to our “Gamification Scoring Sheet” found in the Ask Your Network Library.

 

Sweepstakes Timeframe + Scoring:

This game is kicking off TODAY, Friday, October 8, 2021, and will run through Friday, December 17, 2021. Three winners will be selected at the end of December and announced Monday, January 3, 2022, based on their scoring, which is automated in UAI Connect. Please note our scoring will only include data between October 8 and December 17, 2021, and previous scores will not be included so that everyone starts with a clean slate for the game.

To get a snapshot of our most engaged and active members throughout the gaming period, you can find our “MOST ACTIVE MEMBERS ON UAI CONNECT THIS WEEK!” listed on the bottom of the UAI Connect homepage. This list will showcase our leaderboard, listing the top 8 most active members each week. Check back weekly to see if you’re on the top of the list!

Why Take Part?

The UAI Community is growing, and we want to help you maximize your involvement, build your network with other UAI members through UAI Connect, and make the most of your UAI membership. Collaboration is KEY to everything we do at UAI, and with access to the best minds and resources in the world, we want to make sure you’re connecting with everything (and everybody) that’s available to you within UAI Connect! BONUS…we are offering some amazing prizes for our top three finalists!

 

• 1^st place – Webcam/microphone bundle
• 2^nd place – Lume Cube
• 3^rd place – $25 Amazon gift card

 

We encourage you to spread the word to others internally to get them involved as well! If someone on your team does not have a UAI Connect member account, they can register now.

If you have any questions about the game, please reach out to me, Kevin Praet at kpraet@utilityanalytics.com, and I’ll be happy to assist.

Thanks in advance for your involvement and best of luck!

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————

[Kevin Praet (Adm)]

Hey @Chad great to hear from you and THANK YOU for this great insight! I will absolutely pass this on to our member from Enbridge and let you know if we have any follow up questions.

Thanks again!​

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————
——————————————-
Original Message:
Sent: 10-21-2021 16:13
From: Chad Carsten
Subject: AMI/AMR Implementation – Advice Requested

Hi Kevin,

Here is Evergy’s answers to these.

1. Do you leverage AMR or AMI to collect data? If yes is it hourly or another granularity? A: Evergy uses AMI data for 99% of our meters. The majority of them are at the 15 min granularity level. 
2. Has your utility analyzed the data to gain efficiencies?  A: Evergy does use AMI data for Operations and Customer. 
3. If so have you built these capabilities in-house or purchased existing applications and tools to leverage for analysis? A: Evergy uses both. Customer Insights is purchased as well as some Operations Analytics. 
4. Has your utility used data collected through AMI to improve system planning? If so, how specifically is it used for system planning? A: We are still building this out. Currently, we have load forecasting and load analysis in production using AMI Data Aggrergrated at the hour level. 
5. What is the most valuable program/initiative that was made possible with data collected through AMI? (Any details you can share would be helpful) A: Using AMI Data for operations and billing. 
6. Did your utility pursue any new ideas to leverage AMI data that ultimately failed or that weren’t worth pursuing upon further investigation?  A: not yet.. 
7. Does your utility leverage the advanced functionality of meters to identify and address meters with deteriorating health in a manner that has created efficiencies? If not in this way specifically, have you improved meter testing and treatment of retirements through AMI?  A: Yes – we leverage meter events as well as the absence of reads from AMI meters to find AMI Meters that are failing. 

Thanks

——————————
Chad Carsten
Sr Mgr, Customer Analytics and Systems
Evergy
Topeka KS
7855751310
——————————

Original Message:
Sent: 10-21-2021 16:03
From: Kevin Praet
Subject: AMI/AMR Implementation – Advice Requested

Hello UAI Members,

I hope all is well! To best help our member from Enbridge, I wanted to circle back on this thread and provide some additional questions that were sent over. We again are looking for your insight around AMI/AMR and any advice you might have for another utility going down this path.

Here are the addiitonal questions provided:

1. Do you leverage AMR or AMI to collect data? If yes is it hourly or another granularity? 
2. Has your utility analyzed the data to gain efficiencies? 
3. If so have you built these capabilities inhouse or purchased existing applications and tools to leverage for analysis? 
4. Has your utility used data collected through AMI to improve system planning? If so, how specifically is it used for system planning? 
5. What is the most valuable program/initiative that was made possible with data collected through AMI? (Any details you can share would be helpful) 
6. Did your utility pursue any new ideas to leverage AMI data that ultimately failed or that weren’t worth pursuing upon further investigation?  
7. Does your utility leverage the advanced functionality of meters to identify and address meters with deteriorating health in a manner that has created efficiencies? If not in this way specifically, have you improved meter testing and treatment of retirements through AMI? 

Thanks again for your help and we look forward to hearing from you soon!

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033

Original Message:
Sent: 10-11-2021 13:43
From: Kevin Praet
Subject: AMI/AMR Implementation – Advice Requested

Hello UAI Members,

I hope everyone had a great weekend! Last week I connected with one of our members from Enbridge Gas Inc. who is currently on the path to automated meter reading (AMR/AMI). In preperation, Enbridge was hoping to learn more from others on the following:

• How did you implement AMI/AMR – (purchased software, worked with a consultant or figured it out in house, etc.)
• Sharing experiences relating to the following

• Using AMR/AMI and related data to improve system planning – peak analysis etc.
• Sharing of hourly data with customers – what aspect was of most value in this front and also an understanding of the levels of difficulty with this
• Improvements to meter testing/sampling – as new meters can report back if their health is deteriorating
• Other values derived through AMR/AMI implementation

Given the popularity of this topic, I’m hoping our members will be willing to share thier experiences to assist Enbridge. Please provide any insight below and let us know if you have any questions.

Thanks in advance for your help!

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————

[Kevin Praet (Adm)]

Hello Asset Health Analytics Community Members,

I hope all is well! We are just under one week away from our October Asset Health Analytics Community Conversation and want to update and get you excited about the session taking place. On Wednesday, October 27th at 2:00 PM CT, we’ll be joined by Rob Malowney, Asset Data Systems & Records Manager at SDG&E, and Yamil Rivera, Resources Senior Manager at Accenture, who will be leading a discussion around, Predictive Asset Condition: The Good, The Bad, and The Ugly. As this discussion will be interactive, we encourage you to come prepared with questions and your insight. 

Learn more about this session and our speakers below!

Session Description:

This session will examine SDG&E’s Asset Management journey towards data-driven, risk-informed decision making. We will cover some of the challenges, lessons learned, and advancements consolidating asset data, partnering with Engineering and Operations organizations to leverage institutional knowledge, understanding/improving data quality, and ultimately building predictive models. The focus will be on electric distribution where we’ve built predictive models for asset condition on both the underground and overhead system.

Speaker: Rob Malowney, Asset Data Systems & Records Manager (SDG&E)

Rob Malowney is a digital native who joined SDG&E in 2012. Since then, he has worked on implementing software, hardware, and data solutions for the engineering and operations groups. Currently he leads the Asset Data transformation at SDG&E. He is a champion of the value of having good data to make risk-informed decisions.  

Speaker: Yamil Rivera, Resources Senior Manager (Accenture)

Yamil Rivera is a Senior Manager in the Transmission & Distribution practice with over 8 years of experience on the Electrical Utilities Industry in leading and developing solutions for the Transmission & Distribution and Customer Service operations (EAM, ADMS, CIS, MDM, etc.). Currently he is responsible for the delivery of an Asset Analytics project at SDG&E and is passionate about implementing software and processes to empower businesses to operate more efficiently. 

________________________________________________________________________________________________________________________________________

A calendar placeholder for this community conversation was sent out earlier in the month via my alternate email address (kpraet@sg.utilityanalytics.com). If you are not seeing a placeholder on your calendar for Wednesday, October 27th at 2:00 PM CT, please reach out to me so I can be sure you are forwarded the invite an alternate way.

Thanks and I look forward to connecting next week!

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————
——————————————-
Original Message:
Sent: 10-01-2021 13:28
From: Kevin Praet
Subject: Upcoming October (2021) Community Conversation

Hello Asset Health Analytics Community Members,

Happy Friday and I hope all is well! With October just kicking off, I wanted to reach out and get you excited for our October (2021) Asset Health Analytics Community Conversation. On Wednesday, October 27th at 2:00 PM CT, we will be joined by Cam Carroll, Enterprise System Solutions Team Lead, Asset Management at San Diego Gas & Electric, who will be leading a presentation with Q&A and open discussion around, Detecting Asset Damage through Automatic Analyzation of Millions of Images.

I’ll be providing more information on this session one week prior to our meeting but you can always learn more about each of our upcoming Community Conversations on our Events Page HERE.

Our latest IT update allows me to send meeting placeholders directly to your calendars through my alternate email address kpraet@sg.utilityanalytics.com. I sent out invitations for this community, and each of our other communities, earlier this week. If you did not receive a calendar invitation let me know so I can help troubleshoot. As this seems to be an issue with some of our members’ firewalls, we recommend whitelisting my new email address kpraet@sg.utilityanalytics.com to ensure any invites don’t go to your spam/junk folders.

Again please let me know if you have any questions/concerns or do not have a calendar placeholder on your calendar.

Thanks and I look forward to connecting with you all this month!

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————

[Kevin Praet (Adm)]

Hello Natural Gas Analytics Members,

I hope all is well! To best help our member from Enbridge, I wanted to circle back on this thread and provide some additional questions that were sent over. We again are looking for your insight around AMI/AMR and any advice you might have for another utility going down this path.

Here are the addiitonal questions provided:

1. Do you leverage AMR or AMI to collect data? If yes is it hourly or another granularity? 
2. Has your utility analyzed the data to gain efficiencies? 
3. If so have you built these capabilities inhouse or purchased existing applications and tools to leverage for analysis? 
4. Has your utility used data collected through AMI to improve system planning? If so, how specifically is it used for system planning? 
5. What is the most valuable program/initiative that was made possible with data collected through AMI? (Any details you can share would be helpful) 
6. Did your utility pursue any new ideas to leverage AMI data that ultimately failed or that weren’t worth pursuing upon further investigation?  
7. Does your utility leverage the advanced functionality of meters to identify and address meters with deteriorating health in a manner that has created efficiencies? If not in this way specifically, have you improved meter testing and treatment of retirements through AMI? 

Thanks again for your help and we look forward to hearing from you soon!

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————
——————————————-
Original Message:
Sent: 10-11-2021 13:45
From: Kevin Praet
Subject: AMI/AMR Implimentation – Advice Requested

Hello Natural Gas Analytics Members,

I hope everyone had a great weekend! Last week I connected with one of our members from Enbridge Gas Inc. who is currently on the path to automated meter reading (AMR/AMI). In preperation, Enbridge was hoping to learn more from others on the following:

• How did you implement AMI/AMR – (purchased software, worked with a consultant or figured it out in house, etc.)
• Sharing experiences relating to the following

• Using AMR/AMI and related data to improve system planning – peak analysis etc.
• Sharing of hourly data with customers – what aspect was of most value in this front and also an understanding of the levels of difficulty with this
• Improvements to meter testing/sampling – as new meters can report back if their health is deteriorating
• Other values derived through AMR/AMI implementation

Given the popularity of this topic, I’m hoping our members will be willing to share thier experiences to assist Enbridge. Please provide any insight below and let us know if you have any questions.

Thanks in advance for your help!

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————

[Kevin Praet (Adm)]

Hello UAI Members,

I hope all is well! To best help our member from Enbridge, I wanted to circle back on this thread and provide some additional questions that were sent over. We again are looking for your insight around AMI/AMR and any advice you might have for another utility going down this path.

Here are the addiitonal questions provided:

1. Do you leverage AMR or AMI to collect data? If yes is it hourly or another granularity? 
2. Has your utility analyzed the data to gain efficiencies? 
3. If so have you built these capabilities inhouse or purchased existing applications and tools to leverage for analysis? 
4. Has your utility used data collected through AMI to improve system planning? If so, how specifically is it used for system planning? 
5. What is the most valuable program/initiative that was made possible with data collected through AMI? (Any details you can share would be helpful) 
6. Did your utility pursue any new ideas to leverage AMI data that ultimately failed or that weren’t worth pursuing upon further investigation?  
7. Does your utility leverage the advanced functionality of meters to identify and address meters with deteriorating health in a manner that has created efficiencies? If not in this way specifically, have you improved meter testing and treatment of retirements through AMI? 

Thanks again for your help and we look forward to hearing from you soon!

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————
——————————————-
Original Message:
Sent: 10-11-2021 13:43
From: Kevin Praet
Subject: AMI/AMR Implementation – Advice Requested

Hello UAI Members,

I hope everyone had a great weekend! Last week I connected with one of our members from Enbridge Gas Inc. who is currently on the path to automated meter reading (AMR/AMI). In preperation, Enbridge was hoping to learn more from others on the following:

• How did you implement AMI/AMR – (purchased software, worked with a consultant or figured it out in house, etc.)
• Sharing experiences relating to the following

• Using AMR/AMI and related data to improve system planning – peak analysis etc.
• Sharing of hourly data with customers – what aspect was of most value in this front and also an understanding of the levels of difficulty with this
• Improvements to meter testing/sampling – as new meters can report back if their health is deteriorating
• Other values derived through AMR/AMI implementation

Given the popularity of this topic, I’m hoping our members will be willing to share thier experiences to assist Enbridge. Please provide any insight below and let us know if you have any questions.

Thanks in advance for your help!

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————