[Kevin Praet (Adm)]

Hello Asset Health Analytics Community Members,

I hope all is well! We are one week away from our February (2023) Asset Health Analytics Community Conversation and want to get you excited about the session taking place. On Wednesday, February 22 at 2:00 PM CT, we’ll be joined by Randy Mullinax, General Manager, Performance & Reliability at Southern Company who will be leading a discussion around, “Monitoring & Diagnostics of Generation and Transmission Assets.” 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:

Southern Company will share how they have integrated their historian, CBM tools, Work Management data, and Advanced Pattern Recognition algorithms to provide proactive insight into asset health. They will also discuss some gaps they have observed, and will provide recommendations for forming a focused UAI track for interested participants.

Speaker: Randy Mullinax, General Manager, Performance & Reliability (Southern Company)

Randy Mullinax is responsible for the Southern Company retail M&D Center, remote operating center, equipment performance testing and maintenance strategy development for the fossil fleet. He is currently leading the Performance and Reliability group‘s effort focused on a digital maintenance program.

______________________________________________________________________________________________________________________________________________

A calendar placeholder for this community conversation was sent out via my alternate email address (kpraet@sg.utilityanalytics.com). I’ve noticed these invites can sometimes be flagged as spam, so please check your junk folders if you’re not seeing right away. For your convenience I have also attached the placeholder to this message as an easy download. If you are not seeing a placeholder on your calendar for Wednesday, February 22 at 2:00 PM CT, or are having trouble downloading the placeholder from this message, please reach back 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: 02-01-2023 14:00
From: Kevin Praet
Subject: Upcoming February (2023) Community Conversation

Hello Asset Health Analytics Community Members,

I hope all is well! With February just kicking off, I wanted to reach out and get you excited for our February (2023) Asset Health Analytics Community Conversation. On Wednesday, February 22 at 2:00 PM CT we’ll be joined by Randy Mullinax, General Manager, Performance & Reliability at Southern Company who will be leading a discussion around, “Monitoring of Generation Assets.” I’ll be providing more information on this session, including our Microsoft Teams credentials, one week prior to our meeting but you can always learn more about each of our upcoming Community Conversations on our Events Page HERE.

If you have any questions in the meantime please reach out to me at kpraet@utilityanalytics.com.

 

Thanks!

——————————
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 February (2023) Data Science Community Conversation and want to get you excited about the session taking place. On Tuesday, February 21 at 1:00 PM CT, we’ll be joined by Chuck Hahm, Principal Data Scientist | Field Operations Strategy and Analytics at SDG&E who will be leading a discussion around, “An All-Python Graphical User Interface for Data Science and Real-Time Deployment: Practical Case Experience at San Diego Gas and Electric.” 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:

There are multiple factors to consider when selecting the best graphical user interface for data science applications. In this talk, we share our experience with an all-python alternative that offers advantages over more widely deployed technologies that are oriented towards business applications. We offer an even-handed view that presents both the advantages and disadvantages of our all-python solution.

Speaker: Chuck Hahm, Principal Data Scientist | Field Operations Strategy and Analytics

Chuck Hahm is a Principal Data Scientist at San Diego Gas and Electric.  Chuck’s data science experience spans a range of industries including medical devices, sensor analytics and cyber-security. Chuck holds an MS in Electrical Engineering from the Illinois Institute of Technology and has served as an adjunct faculty at National University in their graduate analytics program. 

______________________________________________________________________________________________________________________________________________

A calendar placeholder for this community conversation was sent out via my alternate email address (kpraet@sg.utilityanalytics.com). I’ve noticed these invites can sometimes be flagged as spam, so please check your junk folders if you’re not seeing right away. For your convenience I have also attached the placeholder to this message as an easy download. If you are not seeing a placeholder on your calendar for Tuesday, February 21 at 1:00 PM CT, or are having trouble downloading the placeholder from this message, please reach back 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: 02-01-2023 14:00
From: Kevin Praet
Subject: Upcoming February (2023) Community Conversation

Hello Data Science Community Members,

I hope all is well! With February just kicking off, I wanted to reach out and get you excited for our February (2023) Data Science Community Conversation. On Tuesday, February 21 at 1:00 PM CT we’ll be joined by Chuck Hahm, Principal Data Scientist | Field Operations Strategy and Analytics at SDG&E who will be leading a discussion around, “An All-Python Graphical User Interface for Data Science and Real-Time Deployment: Practical Case Experience at San Diego Gas and Electric.” I’ll be providing more information on this session, including our Microsoft Teams credentials, one week prior to our meeting but you can always learn more about each of our upcoming Community Conversations on our Events Page HERE.

If you have any questions in the meantime please reach out to me at kpraet@utilityanalytics.com.

 

Thanks!

——————————
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 February (2023) Grid Analytics Community Conversation and want to get you excited about the session taking place. On Wednesday, February 15 at 1:00 PM CT, we’ll be joined by Tom Mahar, Principal Data Scientist at ComEd who will be leading a discussion around, “Distribution Pole Failure Prediction.” 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:

As electrical infrastructure ages, prioritization of asset replacements has become a challenge for utilities. Which assets must be replaced immediately? Which assets still have useful life left in them? ComEd utilized a machine learning model to examine wooden distribution pole failure data and predict risk of pole failure. This model has allowed ComEd to prioritize replacement of distribution poles considering both failure likelihood and estimated customer impact. This presentation will discuss the project and model in detail.

Speaker: Tom Mahar, Principal Data Scientist (ComEd)

Tom Mahar is a Data Scientist at ComEd. Tom holds his bachelor’s degree in engineering from the University of Illinois Urbana Champaign and has 10 years’ experience in the electrical utilities space. His current work focuses on utilizing analytics to make the distribution system more reliable and he also has extensive experience in distribution system planning and design. Tom has implemented several successful use cases at ComEd; including machine learning models for prioritizing asset replacements and field verified outage prediction models. Tom believes utilities can deliver value to customers by focusing on practical applications for data and by embracing a DIY approach. 
_________________________________________________________________________________________________________________________________________________

A calendar placeholder for this community conversation was sent out via my alternate email address (kpraet@sg.utilityanalytics.com). I’ve noticed these invites can sometimes be flagged as spam, so please check your junk folders if you’re not seeing right away. For your convenience I have also attached the placeholder to this message as an easy download. If you are not seeing a placeholder on your calendar for Wednesday, February 15 at 1:00 PM CT, or are having trouble downloading the placeholder from this message, please reach back 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: 02-01-2023 14:05
From: Kevin Praet
Subject: Upcoming February (2023) Community Conversation

Hello Grid Analytics Community Members,

I hope all is well! With February just kicking off, I wanted to reach out and get you excited for our February (2023) Grid Analytics Community Conversation. On Wednesday, February 15 at 1:00 PM CT we’ll be joined by Tom Mahar, Principal Data Scientist at ComEd who will be leading a discussion around, “Distribution Pole Failure Prediction.” I’ll be providing more information on this session, including our Microsoft Teams credentials, one week prior to our meeting but you can always learn more about each of our upcoming Community Conversations on our Events Page HERE.

If you have any questions in the meantime please reach out to me at kpraet@utilityanalytics.com.

 

Thanks!

——————————
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 February (2023) Natural Gas Analytics Community Conversation and want to get you excited about the session taking place. On Wednesday, February 15 at 11:00 AM CT, we’ll be joined by Sean Marden, Lead Data Scientist at National Grid who will be leading a discussion around, “National Grid Uses Machine Learning to Reduce Compliance Risk in its Massachusetts Gas Network.” 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:

Newly paved roads in Massachusetts are under “guarantee” for 5 years, which prohibits digging, meaning National Grid may not be able to address Cathodic Pipe Protection (CPP) compliance issues on some streets until the guarantee period is over. Working together, the Massachusetts Corrosion Control and Advanced Data Analytics teams leveraged Machine Learning techniques to predict the probabilities of compliance issues throughout the network so monitoring efforts and work orders can be prioritized.

During this presentation, National Grid will discuss the path from noisy data to a working output that helps teams in the field keep our gas pipelines safe and reliable.

Speaker: Sean Marden, Lead Data Scientist (National Grid)

Sean Marden is a Data Scientist at National Grid. He has previously worked in Data Science and Analytics roles in other industries including Ad-Tech, Public Health, and Finance.  A student of Math and Economics, Sean has also worked as a High School teacher and volunteers as the coach of a local Math Team.  He lives west of Boston with his wife and two sons. 
_________________________________________________________________________________________________________________________________________________

A calendar placeholder for this community conversation was sent out via my alternate email address (kpraet@sg.utilityanalytics.com). I’ve noticed these invites can sometimes be flagged as spam, so please check your junk folders if you’re not seeing right away. For your convenience I have also attached the placeholder to this message as an easy download. If you are not seeing a placeholder on your calendar for Wednesday, February 15 at 11:00 AM CT, or are having trouble downloading the placeholder from this message, please reach back 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: 02-01-2023 14:05
From: Kevin Praet
Subject: Upcoming February (2023) Community Conversation

Hello Natural Gas Analytics Community Members,

I hope all is well! With February just kicking off, I wanted to reach out and get you excited for our February (2023) Natural Gas Analytics Community Conversation. On Wednesday, February 15 at 11:00 AM CT we’ll be joined by Sean Marden, Lead Data Scientist at National Grid who will be leading a discussion around, “National Grid Uses Machine Learning to Reduce Compliance Risk in its Massachusetts Gas Network.” I’ll be providing more information on this session, including our Microsoft Teams credentials, one week prior to our meeting but you can always learn more about each of our upcoming Community Conversations on our Events Page HERE.

If you have any questions in the meantime please reach out to me at kpraet@utilityanalytics.com.

 

Thanks!

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

[Kevin Praet (Adm)]

Hey @Hayley,

Thanks for reaching out and glad to hear you’re interested in the upcoming sessions! After each Community Conversation, I upload a PDF copy of the presentation along with a full recording to the community libraries where members can view/watch after. If you have any questions on where to locate these recordings feel free to reach out to me directly at kpraet@utilityanalytics.com. ​

Thanks!

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————
——————————————-
Original Message:
Sent: 02-06-2023 06:03
From: Hayley Doolan
Subject: Upcoming February (2023) Community Conversations

Hi Kevin, unfortunately due to time zone differences, some of these I am unable to attend.

 

• One in particular I would be interested in is: February 23 (2023) Enterprise Analytics Community Conversation – “Creating an Analytics Academy”

 

 

Will you be sending out recordings post event please?

 

Many thanks

 

Hayley

 

Original Message:
Sent: 2/3/2023 3:37:00 PM
From: Kevin Praet
Subject: Upcoming February (2023) 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 this month February (2023), 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 (2023) schedule below:

 

• February 14 (2023) Customer Analytics Community Conversation – “The Process for Performing Exploratory Analysis for Theft, Revenue Loss, & Revenue Protection”
  • Speakers:
    • Jorge Barraza, Data Scientist, Analysis and Revenue Protection (Salt River Project)
    • Dragos Cotruta, Data Analytics Strategies Advisor (Hydro Quebec)

 

• February 15 (2023) Natural Gas Analytics Community Conversation – “National Grid Uses Machine Learning to Reduce Compliance Risk in its Massachusetts Gas Network”
  • Speaker:
    • Sean Marden, Lead Data Scientist (National Grid)

 

• February 15 (2023) Grid Analytics Community Conversation – “Distribution Pole Failure Prediction”
  • Speaker:
    • Tom Mahar, Principal Data Scientists (ComEd)

 

• February 16 (2023) AAT Community Conversation – “The Importance of User-Centered Design for Analytics Applications”
  • Speaker:
    • Kennedy Porter, Supervisor- Custom DevOps (Oncor Electric Delivery)

 

• February 21 (2023) Data Science Community Conversation – “An All-Python Graphical User Interface for Data Science and Real-Time Deployment: Practical Case Experience at San Diego Gas and Electric”
  • Speaker:
    • Chuck Hahm, Principal Data Scientist | Field Operations Strategy and Analytics (SDG&E)

 

• February 22 (2023) Asset Health Analytics Community Conversation – “Monitoring & Diagnostics of Generation and Transmission Assets”
  • Speaker:
    • Randy Mullinax, General Manager, Performance & Reliability (Southern Company)

 

• February 23 (2023) Enterprise Analytics Community Conversation – “Creating an Analytics Academy”
  • Speakers:
    • Ankush Agarwal, Director, Grid T&D Analytics, Exelon
    • Po-Chen Chen, Data Science Manager, Exelon
    • Brad Steere, Director Operations Analytics, Consumers Energy
    • Sarah Greene, Data & Analytic Services Manager, Consumers Energy
    • Prasenjit Shil, Manager, Digital Innovation, Ameren
    • Ann Toy, Lead Business Translator, Enterprise Analytics, Evergy

 

• February 28 (2023) Safety Analytics Community Conversation – “Part 1: Serious Injuries and Fatalities (SIF) Benchmarking and Community Discussion”
  • Speaker:
    • Bert Hargesheimer, VP Operational Support Services (CPS Energy)

 

 

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)]

Hello @Ty-Rell,

Thank you for the great introduction and we’re so excited to have you part of the UAI Community! I know we have several LSU alumni in the community (and even more that our fans!) so I know several folks were excited to read your post. Given your Data Analyst role I would recommend taking a look at our eight current communities and requesting to join any that interest you. In addition, I would also check out our brand new data science resource Algorithm Alley which allows utility members to collaborate and share various forms of code.

If you have any questions while you’re getting started please reach out to me at kpraet@utilityanalytics.com any time.

Thanks again!​

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————
——————————————-
Original Message:
Sent: 01-11-2023 10:46
From: Ty-Rell Walton
Subject: Hello Everyone!!

Hello everyone

My name is Ty-Rell Walton. I currently work for CenterPoint Energy at the Louisiana office. I’ve been with the company for a few months but, have been working in Data Analysis for three years now. I am a southern boy from the great Cajun State of Louisiana where we love our Gumbo, Boudin, and Mardi Gras! I am a 2019 graduated at Louisiana State University (Go Tigers) in Computer Science. I love to travel, spend time with family, friends, camp, watch my favorite show on Netflix (NCIS) and bowl among other things. I am very adventurous and always looking to try new activities. I am excited to join the UAI Community and look forward to learning, collaborating, and meeting new colleagues in this data analysis world. As we say back home, laissez les bon temps rouler (Let the Good time roll)!

——————————
Ty-Rell Walton
Data Analyst
CenterPoint Energy
——————————

[Kevin Praet (Adm)]

Hey @Tilak,

Thanks for getting in touch and I’m sorry you missed yesterday’s session! I’ll be uploading a recording this afternoon along with a copy of the presentation. I’ll be sending a note here (through UAI Connect) once it’s available but I’ll send you over a seperate ​note via email.

Thanks again!

-Kevin

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————
——————————————-
Original Message:
Sent: 12-09-2022 09:25
From: Tilak Mishra
Subject: Post-Meeting Evaluation for December 8, 2022

Good morning Kevin.

 

I missed yesterday’s Community Conversation. Would you mind helping me to know where can I find the recording of it?

 

Thank you.

 

Original Message:
Sent: 12/8/2022 4:00:00 PM
From: Kevin Praet
Subject: Post-Meeting Evaluation for December 8, 2022

Hello Enterprise Analytics Community Members,

Thanks for attending today’s (12/8/2022) Community Conversation on “Data Science Practice at Evergy.” 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 Enterprise 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 Grid Analytics Community Members,

I hope all is well! We are just under one week away from our December (2022) Grid Analytics Community Conversation and want to get you excited about the session taking place. On Wednesday, December 14 at 1:00 PM CT, we’ll be joined by Ali Alvi, Principal Project Manager – Grid Modernization | Smart Grid & Technology at ComEd and Marianna Vaiman, CEO at V&R Energy who will be leading a discussion around, “Developing and Deploying a Distribution Linear State Estimator: One Utility’s Journey.” As this discussion will be interactive, we encourage you to come prepared with questions and your insight.

Learn more about this session below!

Session Description:

Using Machine Learning algorithm based on time series analysis of Synchrophasor (Phasor Measurement Units) data on ComEd’s distribution network. ComEd is currently the leading the electric utility industry in development of a Distribution Linear State Estimation (DLSE) platform, which is based on high resolution time synchronized data from PMUs to model and estimate linear state of power system, which ultimately provides enhanced visibility and real time situational awareness into the distribution network.

The reliable and resilient operation of a DER-rich distribution grid requires real-time monitoring and control. Distribution Phasor Measurement Units (PMUs) can provide time-stamped voltage and current phasor data at a high sampling rate, yielding real-time snapshots of electric distribution grids and microgrids. To leverage the synchrophasor data from distribution PMUs deployed within the Bronzeville Community Microgrid (BCM), ComEd implemented and tested a three-phase distribution linear state estimator (DLSE). The DLSE performs state estimation as fast as the PMU reporting rate, up to 60 times per second as compared to traditional state estimation (SE) which solves once every few minutes. This application can provide increased observability that supports real-time situational awareness and monitoring, aiding real-time control and optimization of the distribution system. With lab validation now complete, the technology is deployed in the BCM, a 7-MW community microgrid, to monitor two feeders.
_______________________________________________________________________________________________________________________________________________

A calendar placeholder for this community conversation was sent out via my alternate email address (kpraet@sg.utilityanalytics.com). I’ve noticed these invites can sometimes be flagged as spam, so please check your junk folders if you’re not seeing right away. For your convenience I have also attached the placeholder to this message as an easy download. If you are not seeing a placeholder on your calendar for Wednesday, December 14 at 1:00 PM CT, or are having trouble downloading the placeholder from this message, please reach back 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: 12-02-2022 12:07
From: Kevin Praet
Subject: Upcoming December (2022) Community Conversation

Hello Grid Analytics Community Members,

I hope all is well! With December just kicking off, I wanted to reach out and get you excited for our December (2022) Grid Analytics Community Conversation. On Wednesday, December 14 at 1:00 PM CT, we’ll be joined by Ali Alvi, Principal Project Manager – Grid Modernization | Smart Grid & Technology at ComEd and Marianna Vaiman, CEO at V&R Energy who will be leading a discussion around, “Developing and Deploying a Distribution Linear State Estimator: One Utility’s Journey.” I’ll be providing more information on this session, including our Microsoft Teams credentials, one week prior to our meeting but you can always learn more about each of our upcoming Community Conversations on our Events Page HERE.

If you have any questions in the meantime please reach out to me at kpraet@utilityanalytics.com.

 

Thanks

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

[Kevin Praet (Adm)]

Hey @Michael,

Thanks for reaching out and I appreciate the suggestion! I think this is a great idea and actually just updated next week’s meeting placeholder with our session info. 

Typically we send three reminder messages for each community conversation (first of each month, one week prior, and one day prior). Due to some email issues on my end, I missed the one week reminder yesterday but will be sending a message to the group this afternoon. Be on the lookout and let me know if you have any questions in the meantime.

Thanks again!

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————
——————————————-
Original Message:
Sent: 12-07-2022 09:21
From: Michael Keesey
Subject: Upcoming December (2022) Community Conversation

Kevin,

 

Thanks for organizing all of these meetings.

 

It would be helpful if the topic and description of the meeting would appear in the meeting notice itself.

 

The meeting notice in my calendar for Dec 13 contains no information about the topic of the meeting, I have to search back through my emails to find what the topic is.

 

Thanks for considering.

 

–Mike Keesey at AEP

 

 

 

Original Message:
Sent: 12/2/2022 12:19:00 PM
From: Kevin Praet
Subject: Upcoming December (2022) Community Conversation

Hello Safety Analytics Community Members,

I hope all is well! With December just kicking off, I wanted to reach out and get you excited for our December (2022) Safety Analytics Community Conversation. On Tuesday, December 13 at 2:00 PM CT we’ll be joined by Carter White, Quantitative Analyst and Sam Dean, Data Scientist at TVA who will be leading a discussion around, “AI and Machine Learning with Robots for Innovation in Safety.” I’ll be providing more information on this session, including our Microsoft Teams credentials, one week prior to our meeting but you can always learn more about each of our upcoming Community Conversations on our Events Page HERE.

If you have any questions in the meantime please reach out to me at kpraet@utilityanalytics.com.

 

Thanks

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

[Kevin Praet (Adm)]

Hello Customer Analytics Community Members,

I hope all is well! We are just under one week away from our December (2022) Customer Analytics Community Conversation and want to get you excited about the session taking place. On Tuesday, December 13 at 11:00 AM CT, we’ll be joined by Ivan Mejorado, Analyst at El Paso Electric who will be leading a discussion around, “Using Data Visualization to Understand Customer Satisfaction.” 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:

During this conversation, we will review how El Paso Electric is using PowerBI to understand the results of its quarterly and yearly customer satisfaction surveys. Using this data, El Paso Electric has identified key trends in customer sentiment, the differences in opinion between different demographic groups, and the main concerns expressed by dissatisfied customers. Through this dashboard, the company has identified a series of use cases that will be implemented in 2023 and 2024 with the goal of increasing overall customer satisfaction.

Speaker: Ivan Mejorado, Analyst (El Paso Electric)

Ivan Mejorado is an associate Data Science and Business Intelligence Analyst for El Paso Electric (EPE) who grew up in the border region of El Paso, Texas. Before joining the EPE team, Ivan obtained a master’s in economics with a concentration in data analytics from the University of Texas at El Paso. In the past, Ivan has had diversified experience in machine learning, managerial finance, project management, and public policy. In his free time, Ivan enjoys running, hiking the Franklin Mountains, and spending time with his family and friends on both sides of the border.
_________________________________________________________________________________________________________________________________________________

A calendar placeholder for this community conversation was sent out via my alternate email address (kpraet@sg.utilityanalytics.com). I’ve noticed these invites can sometimes be flagged as spam, so please check your junk folders if you’re not seeing right away. For your convenience I have also attached the placeholder to this message as an easy download. If you are not seeing a placeholder on your calendar for Tuesday, December 13 at 11:00 AM CT, or are having trouble downloading the placeholder from this message, please reach back 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: 12-02-2022 12:01
From: Kevin Praet
Subject: Upcoming December (2022) Community Conversation

Hello Customer Analytics Community Members,

I hope all is well! With December just kicking off, I wanted to reach out and get you excited for our December (2022) Customer Analytics Community Conversation. On Tuesday, December 13 at 11:00 AM CT we’ll be joined by Ivan Mejorado, Analyst at El Paso Electric who will be leading a discussion around, “Using Data Visualization to Understand Customer Satisfaction.” I’ll be providing more information on this session, including our Microsoft Teams credentials, one week prior to our meeting but you can always learn more about each of our upcoming Community Conversations on our Events Page HERE.

If you have any questions in the meantime please reach out to me at kpraet@utilityanalytics.com.

 

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 just under one week away from our December (2022) Safety Analytics Community Conversation and want to get you excited about the session taking place. On Tuesday, December 13th at 2:00 PM CT, we’ll be joined by Carter White, Quantitative Analyst and Sam Dean, Data Scientist at TVA who will be leading a discussion around, “AI and Machine Learning with Robots for Innovations in Safety.” 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:

TVA’s Enterprise Analytics team has been exploring the combination of AI and Machine learning with Robots for innovation. Spot, a robot produced by Boston Dynamics, was recently tested to automate data acquisition tasks. The team applied edge analytics, computer vision, and machine learning to allow Spot to collect data in various potentially hazardous environments without the need for an operator. The goal is to generate insights from various SPOT sensor data (camera images, LiDAR, thermal, acoustic, etc.) and allow engineers and field operators to perform asset and equipment inspections remotely from their computers, helping to keep them safe through reduced time physically spent in hazardous and/or high radiation areas . This session will include an overview of the technology used and how AI and Machine Learning are developed to apply intelligence to the data acquired. We’ll also discuss how these technologies can be applied to various use cases to reduce costs and drive employee safety.

Speaker: Carter White, Quantitative Analyst (TVA)

Carter White is a Quantitative Analyst working on the Enterprise Analytics team. During his time at TVA, he has worked to turn data into insights using machine learning and data analytics techniques. His projects have included item-recommender systems, computer vision and edge analytics applications, and robotics solutions. 

Speaker: Sam Dean, Data Scientist (TVA)

Sam Dean has been a data scientist with TVA’s Enterprise Analytics teams for just over 3 years working on projects primarily focused on the nuclear organization. Projects include intelligent text search applications, advanced statistics for equipment failure analysis and predictive maintenance, and most recently mapping and advanced image analytics with Spot the robot.
________________________________________________________________________________________________________________________________________________

A calendar placeholder for this community conversation was sent out via my alternate email address (kpraet@sg.utilityanalytics.com). I’ve noticed these invites can sometimes be flagged as spam, so please check your junk folders if you’re not seeing right away. For your convenience I have also attached the placeholder to this message as an easy download. If you are not seeing a placeholder on your calendar for Tuesday, December 13 at 2:00 PM CT, or are having trouble downloading the placeholder from this message, please reach back 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: 12-02-2022 12:19
From: Kevin Praet
Subject: Upcoming December (2022) Community Conversation

Hello Safety Analytics Community Members,

I hope all is well! With December just kicking off, I wanted to reach out and get you excited for our December (2022) Safety Analytics Community Conversation. On Tuesday, December 13 at 2:00 PM CT we’ll be joined by Carter White, Quantitative Analyst and Sam Dean, Data Scientist at TVA who will be leading a discussion around, “AI and Machine Learning with Robots for Innovation in Safety.” I’ll be providing more information on this session, including our Microsoft Teams credentials, one week prior to our meeting but you can always learn more about each of our upcoming Community Conversations on our Events Page HERE.

If you have any questions in the meantime please reach out to me at kpraet@utilityanalytics.com.

 

Thanks

——————————
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 November (2022) Natural Gas Analytics Community Conversation and want to get you excited about the session taking place. On Wednesday, November 16 at 11:00 AM CT, we’ll be joined by Alvin Rentsch, Manager of Data Solutions at ENTRUST Solutions Group who will be leading a discussion around, “Preparing for Digital Twin in Natural Gas Utility Systems.” 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:

ENTRUST will explore the value of Digital Twin applications for a Natural Gas Transmission assets. The presentation will highlight the benefits and challenges in the journey towards digital twins through a series of case studies. The case studies will explore the challenges, and opportunities to use existing projects to get closer to the digital twin vision.

Session Takeaways: This session will contribute to the attendee’s understanding of Digital Twins in relation to gas asset management and how current initiatives can move an organization closer towards that goal.

Speaker: Alvin Rentsch, Manager of Data Solutions (ENTRUST Solutions Group)

Alvin Rentsch is “Rebel with a Spatial Cause”. A dynamic and results-oriented individual with proven expertise in achieving goals, while also prioritizing and strategizing for project completion. He is articulate and persuasive in dealing with all levels of management, peers, staff and diverse clientele. He has government and private sector experience in personnel and project management; military experience including dynamic leadership training and large, multi-unit projects. When he isn’t working on predictive modeling and systems dynamics, he works on integrating systems. Born in Illinois he has a love of baseball, soccer, hockey and trail running. He developed an affinity for providing information to decision makers while serving 12 years in the US Army Special Operations Community.
______________________________________________________________________________________________________________________________________________________

A calendar placeholder for this community conversation was sent out via my alternate email address (kpraet@sg.utilityanalytics.com). I’ve noticed these invites can sometimes be flagged as spam, so please check your junk folders if you’re not seeing right away. For your convenience I have also attached the placeholder to this message as an easy download. If you are not seeing a placeholder on your calendar for Wednesday, November 16 at 11:00 AM CT, or are having trouble downloading the placeholder from this message, please reach back 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: 11-01-2022 12:03
From: Kevin Praet
Subject: Upcoming November (2022) Community Conversation

Hello Natural Gas Analytics Community Members,

I hope all is well! With November just kicking off, I wanted to reach out and get you excited for our November (2022) Natural Gas Analytics Community Conversation. On Wednesday, November 16 at 11:00 AM CT, we’ll be joined by members from ENTRUST Solutions Group who will be leading a discussion around, “Creating a Digital Twin of a Natural Gas Utility System.” I’ll be providing more information on this session, including our Microsoft Teams credentials, one week prior to our meeting but you can always learn more about each of our upcoming Community Conversations on our Events Page HERE.

If you have any questions in the meantime please reach out to me at kpraet@utilityanalytics.com.

 

Thanks!

——————————
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 November (2022) Data Science Community Conversation and want to get you excited about the session taking place. On Tuesday, November 15th at 1:00 PM CT, we’ll be joined by Huseyin Salis, Data Scientist and Avi Dutt-Mazumder, Data Science Supervisor at Consumers Energy who will be leading a discussion around, “Next Best Program Offer for Residential Customers.” 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:

The Customer Insights and Analytics team at Consumer Energy have developed an in-house state-of-the-art sophisticated decision engine, which intertwines a series of complex machine learning algorithms, and business key performance indicators (KPIs) to offer the “right products to the right customers at the right time”. This endeavor will help the Enterprise Product & Marketing Team to enhance their customer acquisition for products, which typically consist of Demand Response, Energy Waste Reduction, Renewables, Transport and Utility preferences. For this purpose, the analytics group created a synergistic ETL with a Machine Learning Pipeline to find eligible customers and predict the maximum likelihood to enroll in their eligible products. The resulted offers are shown in an interactive search dashboard along with the customer profile and all eligible programs.

Speaker: Huseyin Salis, Data Scientist (Consumers Energy)

Huseyin Salis is a Data Scientist at Consumers Energy Marketing Department. He has worked in Data Analytics and Data Science fields in various sectors. He has a bachelor’s degree in Computer Engineering and a master’s degree in Computer Science and another master’s degree in Computer and Electrical Engineering. He lives in Dallas, and he is married with 3 daughters. He enjoys traveling, watching movies, playing ping pong, and meeting new friends.   

Speaker: Avi Dutt-Mazumder, Data Science Supervisor (Consumers Energy)

Avi Dutt-Mazumder is a Data Science Supervisor at Consumers Energy in Customer Experience. He holds a PhD on computational neuroscience, he was the winner of the IEEE Brain award in 2018and has worked on defense projects with IEEE, DARPA. He enjoys travelling, coding, swimming & diving in his leisure time. He lives in greater Dallas with his wife, and two pet fur babies.
______________________________________________________________________________________________________________________________________________

A calendar placeholder for this community conversation was sent out via my alternate email address (kpraet@sg.utilityanalytics.com). I’ve noticed these invites can sometimes be flagged as spam, so please check your junk folders if you’re not seeing right away. For your convenience I have also attached the placeholder to this message as an easy download. If you are not seeing a placeholder on your calendar for Tuesday, November 15 at 1:00 PM CT, or are having trouble downloading the placeholder from this message, please reach back 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: 11-01-2022 12:00
From: Kevin Praet
Subject: Upcoming November (2022) Community Conversation

Hello Data Science Community Members,

I hope all is well! With November just kicking off, I wanted to reach out and get you excited for our November (2022) Data Science Community Conversation. On Tuesday, November 15th at 1:00 PM CT, we’ll be joined by Huseyin Salis, Data Scientist and Avi Dutt-Mazumder, Data Science Supervisor at Consumers Energy who will be leading a discussion around, “Next Best Program Offer for Residential Customers.” I’ll be providing more information on this session, including our Microsoft Teams credentials, one week prior to our meeting but you can always learn more about each of our upcoming Community Conversations on our Events Page HERE.

If you have any questions in the meantime please reach out to me at kpraet@utilityanalytics.com.

 

Thanks!

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

[Kevin Praet (Adm)]

Hello Data Science Community Members,

A few members have had issues downloading our Welcome to Algorithm Alley Video so I’ve embedded the video to this message below. If you have any issues viewing/downloading please let me know so I can troubleshoot and make sure we get you the video an alternate way.

*Please also make sure you’re logged into your UAI Connect before accessing Algorithm Alley. This is a member-only utility resource that is not available for solution provider members or non members. 

Thanks again!

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————
——————————————-
Original Message:
Sent: 11-01-2022 15:24
From: Kevin Praet
Subject: An Exciting New Resource on UAI Connect – Algorithm Alley!

Hello Data Science Community Members,

 

I’m very excited to reach out today to introduce you to a brand-new resource we’re launching on UAI Connect called  “Algorithm Alley”!  Over the past year, the team at UAI has had the privilege of learning from and working with many of our data science members. Our takeaway? More and more members are wanting a resource on UAI Connect where they can upload and collaborate on various forms of code, script, and algorithms. We are both proud and excited to introduce you to Algorithm Alley and we look forward to growing this new initiative with you!

 

Want to get advice on your code or script? Maybe you want to collaborate on a machine learning algorithm? Algorithm Alley has you covered! Currently divided into four categories (Data Engineering, Data Visualization, Machine Learning Algorithms, and Programming) members will have the option of perusing through different entries while also being able to upload their own content. Furthermore, members can like/upvote certain entries and interact publicly or privately with each author. Please make sure any data uploaded to Algorithm Alley is not sensitive or private. Please refer to our code of conduct or reach out to me at kpraet@utilityanalytics.com if you have any questions or concerns.

 

To help get us started, @Andrew (Lead Enterprise Architect at Evergy) was nice enough to put together a short video tutorial. Please click here to watch! In addition, we’ve provided three examples from UAI Members @Kaleb (Data Science Supervisor at ONE Gas), @Phi (Data Scientist at San Diego Gas & Electric) and again @Andrew (Lead Enterprise Architect at Evergy).

 

You can find the direct Link to Algorithm Alley on UAI Connect at https://connect.utilityanalytics.com/ideation-home?IdeationConfigurationKey=9030adff-fa57-4ecb-a34c-aacbddc8cd50. We recommend you bookmark this URL.

 

Today I have decided to tease Algorithm Alley to our Data Science Community and our Executive Advisory Council Members, and we plan to launch to the broader UAI members  in one month on December 1, 2022. By releasing Algorithm Alley to these two select communities, we want to fully test this resource over the coming weeks, tracking any user issues and taking suggestions on how we might be able to improve before our official launch. While you explore Algorithm Alley, please do not hesitate to reach out to me at kpraet@utilityanalytics.com if you notice any issues or have any suggestions.

 

**Please note Algorithm Alley is reserved only for UAI Utility Members. Solution Provider Members and non-members will not be able to access this resource.

 

Thank you in advance for your guidance and support and I hope you enjoy Algorithm Alley!​​​

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

[Kevin Praet (Adm)]

Hey Nadia,

Thanks for reaching out and I apologize for any inconvenience! When downloading the video, the MP4 should open up in your default media player (if you have one set up) but I’ve also embedded to this message for easy access.

If anyone is having any issues downloading or viewing the video below please reach out and let me know. Please also make sure you’re logged into your UAI Connect account before trying to access Algorithm Alley.

Thanks again!

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————
——————————————-
Original Message:
Sent: 11-01-2022 15:54
From: Nadia Powell
Subject: An Exciting New Resource on UAI Connect – Algorithm Alley!

Hi Kevin,

 

I am getting this when I try to view the video.  It appears to be downloading the video then asking me how I want to open it.  Could you give me some help?

 

 

Thanks!

 

nadia

 

	Nadia Powell | El Paso Electric Director – Enterprise Advanced Analytics P.O. Box 982 | El Paso Texas, 79960 T: (195) 543-2284 | C: (915) 504-4268 Nadia.Powell@epelectric.com

 

CONFIDENTIALITY NOTICE: The information contained in this electronic mail transmission is CONFIDENTIAL, and it may qualify as material protected pursuant to the Texas Uniform Trade Secrets Act, the New Mexico Uniform Trade Secrets Act, or other laws. If you are not the intended recipient, please destroy/delete this message and any attachments and immediately notify the sender.

 

 

Original Message:
Sent: 11/1/2022 3:21:00 PM
From: Kevin Praet
Subject: An Exciting New Resource on UAI Connect – Algorithm Alley!

Hello UAI EAC Members,

 

I’m very excited to reach out today to introduce you to a brand-new resource we’re launching on UAI Connect called  “Algorithm Alley”!  Over the past year, the team at UAI has had the privilege of learning from and working with many of our data science members. Our takeaway? More and more members are wanting a resource on UAI Connect where they can upload and collaborate on various forms of code, script, and algorithms. We are both proud and excited to introduce you to Algorithm Alley and we look forward to growing this new initiative with you!

 

Want to get advice on your code or script? Maybe you want to collaborate on a machine learning algorithm? Algorithm Alley has you covered! Currently divided into four categories (Data Engineering, Data Visualization, Machine Learning Algorithms, and Programming) members will have the option of perusing through different entries while also being able to upload their own content. Furthermore, members can like/upvote certain entries and interact publicly or privately with each author. Please make sure any data uploaded to Algorithm Alley is not sensitive or private. Please refer to our code of conduct or reach out to me at kpraet@utilityanalytics.com if you have any questions or concerns.

 

To help get us started, @Andrew (Lead Enterprise Architect at Evergy) was nice enough to put together a short video tutorial. Please click here to watch! In addition, we’ve provided three examples from UAI Members @Kaleb (Data Science Supervisor at ONE Gas), @Phi (Data Scientist at San Diego Gas & Electric) and again @Andrew (Lead Enterprise Architect at Evergy).

 

You can find the direct Link to Algorithm Alley on UAI Connect at https://connect.utilityanalytics.com/ideation-home?IdeationConfigurationKey=9030adff-fa57-4ecb-a34c-aacbddc8cd50. We recommend you bookmark this URL.

 

Today I have decided to tease Algorithm Alley to our Data Science Community and our Executive Advisory Council Members, and we plan to launch to the broader UAI members  in one month on December 1, 2022. By releasing Algorithm Alley to these two select communities, we want to fully test this resource over the coming weeks, tracking any user issues and taking suggestions on how we might be able to improve before our official launch. While you explore Algorithm Alley, please do not hesitate to reach out to me at kpraet@utilityanalytics.com if you notice any issues or have any suggestions.

 

**Please note Algorithm Alley is reserved only for UAI Utility Members. Solution Provider Members and non-members will not be able to access this resource.

 

Thank you in advance for your guidance and support and I hope you enjoy Algorithm Alley!​​​

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