[Kevin Praet (Adm)]

Hello Grid Analytics Community Members,

I hope all is well! We are one week away from our September (2023) Grid Analytics Community Conversation and want to get you excited about the session taking place. On Wednesday, September 20 at 1:00 PM CT, we’ll be joined by Yang Weng, Assistant Professor, School of Electrical, Computer and Energy Engineering at Arizona State University who will be leading a discussion around, “Utility Data Analytics via 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:

Deep penetration of distributed energy resources (DERs) calls for improved monitoring of power systems against reliability and security issues. For example, the low observability in some distribution grids makes monitoring DERs hard due to limited investment and vast coverage of distribution grids. Past methods proposed machine learning models with limited explainability. However, critical energy infrastructure needs assurance. For such a need, this talk shows how to design assured machine learning for power system monitoring via a twin structure of two learning agents, namely the AI-based and physics-guided models. The twins will collaborate adaptively to minimize the learning error while maximizing physical consistency. The structure ensures good generalization properties of the learned models. We then illustrate how twin models can be used to design cyber-attacks that can bypass the chi-squared test on bad data without the system information and discuss how to monitor and mitigate such attacks. Finally, we will demonstrate how the proposed methods are validated using our utility-connected hardware-in-the-loop microgrid.

Speaker: Yang Weng, Assistant Professor, School of Electrical, Computer and Energy Engineering (Arizona State University)

Yang Weng received his Ph.D. in Electrical and Computer Engineering from Carnegie Mellon University (CMU). Upon graduation, he joined Stanford University as a Postdoctoral Fellow at the Precourt Institute for Energy. He is currently an Assistant Professor in the School of Electrical, Computer, and Energy Engineering at Arizona State University (ASU). He is the consortium chair for Energy Cyber, a joint center established by the US Department of Energy and the Israel Ministry of Energy. Yang’s research interests are power systems, data science, and cybersecurity. Yang received the NSF CAREER Award, AFOSR YIP Finalist Award, Amazon Research Award, Outstanding IEEE Young Professional Award, Outstanding Faculty Mentor Award, and Centennial Award for Teaching. Yang also received 9 Best Paper Awards, the Winner Award for International Competition on Innovation and Entrepreneurship, and 2nd Place in Accuracy/1st Place in Speed for the RTE International Competition on “Learning to Run a Power Network” in 2019. ABB Fellowship and Stanford Tomcat Fellowship also recognize his work. 

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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 20 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 we 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: 09-01-2023 11:06
From: Kevin Praet
Subject: Upcoming September (2023) 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 (2023) Grid Analytics Community Conversation. On Wednesday, September 20 at 1:00 PM CT we’ll be joined by Yang Weng, Assistant Professor, School of Electrical, Computer and Energy Engineering at Arizona State University who will be leading a discussion around, “Utility Data Analytics via Machine Learning.”

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!

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