[Leslie Cook (Adm)]

Hello Grid Analytics Community Members,

It looks like we made a mistake in reporting the September 21 Grid Analytics Community Conversation session. The session title that was listed on the previous message this morning is actually the session title for our October 18 session that takes place in-person at UA Week in San Diego. The correct session title for our September 21 Grid Analytics Community Conversation is as follows. You can also learn more about the session on our Events Calendar. Please let me know if you have any questions or need anything regarding this upcoming September Community Conversation. Thank you so much and I apologize for the confusion. 

Cara Gilad, Sr. Data Scientist, Exelon Analytics Jeffrey Swiatek, Principal Quant Engineer, PECO T&S Analytics

Exelon PECO

Substation Transformer Preventative Maintenance Optimization using Machine Learning

Presentation with Q&A/open discussion

Join the Grid Analytics Community on Wednesday, September 21, 2022 at 1:00 PM CT for a presentation with Q&A and open discussion on “Substation Transformer Preventative Maintenance Optimization using Machine Learning” with @Cara, Sr. Data Scientist, Exelon Analytics and Jeffrey Swiatek, Principal Quant Engineer, PECO T&S Analytics.     Utilities have been heavily reliant on subject matter knowledge in the last century to drive PM program and schedule PM for a variety of assets. Our engineers are experts in the industry and have leveraged their and industry knowledge of asset measurements and inspection results to manage these programs, however, as human beings, we are limited in terms of considering a variety of factors and assessing the distribution of each factor. This is where data driven approaches shine and enables SMEs with checking million to billion combinations to come up with the best model to predict future. These models can then be used to supplement engineer knowledge, and support industry-wide acceptance of a systematic approach to transition to condition-based maintenance programs. Latest model was validated against business-as-usual to provide 85% accuracy using success criteria developed for this project. PECO team is quantifying and confirming the benefits of model output to extract technical and data science success, including that model can be used in the real world “what would be do differently” Session Takeaways  – Learn how Exelon and PECO T&S and Analytics teams have developed a novel machine learning model to recommend preventative maintenance (PM) for transformers at the right time to replace time-based preventative maintenance.  – Learn about underlying on-premise and cloud analytics platform required to support this work, Exelon’s strong data-driven culture, focus on cross-collaboration and supporting diverse roles to work together to identify, ideate and solve problems.

​Thanks!

     Leslie ​

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Leslie Cook
Membership & Digital Engagement Manager
Utility Analytics Institute (UAI)
719-203-8650, lcook@utilityanalytics.com
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Original Message:
Sent: 09-01-2022 10:32
From: Kevin Praet
Subject: Upcoming September (2022) Community Conversation

Hello Grid Analytics Community Members,

I hope all is well! With September just kicking off, I wanted to reach out and get you excited for our September (2022) Grid Analytics Community Conversation. On Wednesday, September 21st at 1:00 PM CT, we’ll be joined by Cara Gilad, Sr. Data Scientist (Exelon Analytics) and Jeffrey Swiatek, Principal Quant Engineer (PECO T&S Analytics) who will be leading a discussion around, “Outage Prediction Using DA Devices and Fault Sensors.” 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
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[Kevin Praet (Adm)]

Hello Grid Analytics Community Members,

I hope all is well! We are one week away from our September (2022) Grid Analytics Community Conversation and want to get you excited about the session taking place. On Wednesday, September 21 at 1:00 PM CT, we’ll be joined by Cara Gilad, Sr. Data Scientist (Exelon Analytics) and Jeffrey Swiatek, Principal Quant Engineer (PECO T&S Analytics) who will be leading a discussion around, “Substation Transformer Preventative Maintenance Optimization using 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 speakers below!

Session Description:

Utilities have been heavily reliant on subject matter knowledge in the last century to drive PM program and schedule PM for a variety of assets. Our engineers are experts in the industry and have leveraged their and industry knowledge of asset measurements and inspection results to manage these programs, however, as human beings, we are limited in terms of considering a variety of factors and assessing the distribution of each factor. This is where data driven approaches shine and enables SMEs with checking million to billion combinations to come up with the best model to predict future. These models can then be used to supplement engineer knowledge, and support industry-wide acceptance of a systematic approach to transition to condition-based maintenance programs.

Latest model was validated against business-as-usual to provide 85% accuracy using success criteria developed for this project. PECO team is quantifying and confirming the benefits of model output to extract technical and data science success, including that model can be used in the real world “what would be do differently”

Session Takeaways
– Learn how Exelon and PECO T&S and Analytics teams have developed a novel machine learning model to recommend preventative maintenance (PM) for transformers at the right time to replace time-based preventative maintenance.
– Learn about underlying on-premise and cloud analytics platform required to support this work, Exelon’s strong data-driven culture, focus on cross-collaboration and supporting diverse roles to work together to identify, ideate and solve problems.

Speaker: Cara Gilad, Sr. Data Scientist (Exelon Analytics)

Based in Chicago, Cara Gilad is a Sr Data Scientist on the Grid Analytics team at Exelon Utilities. Her current work is focused around safety analytics and modeling. 

Speaker: Jeffrey Swiatek, Principal Quant Engineer (PECO T&S Analytics)

Jeff Swiatek is a Transmission & Substations Principle Quantitative Engineer at PECO – An Exelon Company and has been with PECO for 8 years. His main responsibilities are to develop algorithms and analyses to improve trending and forecasting of equipment health, improve equipment reliability, and optimize maintenance costs.  Previously he served as an Area Maintenance Engineer for the Philadelphia region substations.  Prior to joining PECO Jeff also worked in the Space Systems industry for 8 years and the Semiconductor industry for 5 years.  Jeff holds a B.S. in Mechanical Engineering from Penn State University.
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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, September 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!

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Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————
——————————————-
Original Message:
Sent: 09-01-2022 10:32
From: Kevin Praet
Subject: Upcoming September (2022) Community Conversation

Hello Grid Analytics Community Members,

I hope all is well! With September just kicking off, I wanted to reach out and get you excited for our September (2022) Grid Analytics Community Conversation. On Wednesday, September 21st at 1:00 PM CT, we’ll be joined by Cara Gilad, Sr. Data Scientist (Exelon Analytics) and Jeffrey Swiatek, Principal Quant Engineer (PECO T&S Analytics) who will be leading a discussion around, “Outage Prediction Using DA Devices and Fault Sensors.” 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
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