[Kevin Praet (Adm)]

Hello Grid Analytics Community Members,

I hope all is well! We are one week away from our October Grid Analytics Community Conversation (part of this year’s UA Week event) and want to get you excited about the session taking place. On Wednesday, October 13th at 1:45 PM CT, we will be joined by Community Sponsor Amin Tayyebi, Data Science Manager at Exelon Utilities, who will be leading a discussion around, Improve Fault Location Accuracy for Historical Electrical Outage. As this discussion is interactive, we encourage you to come prepared with questions and your insight.

*This event will take place in-person at UA Week in Dallas, TX. If you cannot travel to Dallas for the event, we will also be hosting this session virtually, so you have an option to join in on this valuable discussion.

Learn more about this session and our speaker below!

Session Description:

Utilities are spending millions of dollars on storm hardening and other engineering solution deployments and leveraging outage and damage data for advanced analytics use cases such as storm prediction and vegetation spot-trimming. Accurate outage location is fundamental to supporting and enabling this work. Historical outage data records the geographical location where an outage was reported (i.e. the coordinates of the residence of a customer who called to report the outage) but does not reflect the actual location where crews worked to repair faulty/damaged equipment. Exelon integrated various GIS data sources called 1) mobile dispatch system (MDS) that enables crew to automate routing and scheduling processes efficiently, 2) outage management system (OMS) that stores the location of outage and assist in restoration of power, 3) GIS system provides the location of utility assets (i.e. poles, breakers, fuses and feeders), 4) Verizon Telematics allow complete connectivity to any vehicle with safety and security as the beginning. With integrating various data source, Data Science, Operation Dashboard, and ArcGIS API for Python, Exelon built an algorithm that improves the accuracy of outage location.

Speaker: Amin Tayyebi – Data Science Manager (Exelon Utilities)

AminTayyebi, Ph.D.is currently the Data Science Manager at Exelon. He has+10 years of experience as data scientist, data engineer and project manager in analytics by integrating geospatial data (remote sensing and GIS), data mining, statistics, machine learning and deep learning, programming as well as developing APIs to meet the needs of business applications and various technology partners such as USGS, NASA, USDA, EPA, Exelon, ESRI, Bayer Crop Science and Climate Corporation. 

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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, October 13th at 1:45 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!

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Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
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Original Message:
Sent: 10-01-2021 13:00
From: Kevin Praet
Subject: Upcoming October (2021) Community Conversation

Hello Grid 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) Grid Analytics Community Conversation taking place both virtually and in-person at Utility Analytics Week. On Wednesday, October 13th at 1:45 PM CT, we will be joined by Community Leader Amin Tayyebi, Data Science Manager at Exelon Utilities, who will be leading a discussion around, Improve Fault Location Accuracy for Historical Electrical Outage.

 

*This session will be taking place both virtually and in-person at Utility Analytics Week. Members can register for Utility Analytics Week using the link HERE or by emailing kpraet@utilityanalytics.com.

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!

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