2021 IEEE Workshop on Machine Learning for Power Systems (PSOPE)

Date: Wednesday, November 17, 2021 11:00 am - 5:00 pm

Event Title: 2021 IEEE Workshop on Machine Learning for Power Systems

Event Time: November 17th, 2021 (Wednesday), 11:00 am - 5:00 pm, US Eastern Time

Event Location: WebEx. Registration Required via following link:  

https://ieeemeetings.webex.com/ieeemeetings/onstage/g.php?MTID=e7f10435a0e58a0817e98af0705b777d7

Presented by: IEEE Task Force on Machine Learning for Power Systems, PSOPE T&I SC

Workshop Organizer: Fran Li, U of Tennessee, fli6@utk.edu

Website: https://cmte.ieee.org/pes-mlps/ | Email list: pes-mlps@listserv.ieee.org

Agenda (listed in Eastern Time)
10:45 – 11:00 Check in
11:00 – 11:05 Welcome and Introduction – Fran Li, Workshop Organizer
11:05 – 11:20 Opening Remarks – Don Wunsch & Aranya Chakrabortty, NSF
11:20 – 12:00 From AlphaGo to Power System AI – Fran Li, Jin Zhao, University of Tennessee
12:00 – 12:40 Applying Deep CNN to Automatic Transient Disturbance Assessment of an IEEE 179-bus System – Daniel Douglas, Rensselaer Polytechnic Institute (RPI)
12:40 – 13:10 Lunch Break
13:10 – 13:50 Physics-Informed Deep Reinforcement Learning for Power System Optimization and Control – Junbo Zhao, Mississippi State University
13:50 – 14:30 Application of Machine Learning to Improve Grid Operation Reliability – Pengwei Du, ERCOT
14:30 – 15:10 Neural Network Applications for Power Systems: Is it time to trust them? – Spyros Chatzivasileiadis, Technical University of Denmark
15:10 – 15:20 Afternoon Break
15:20 – 16:00 Rotor Angle Stability Prediction of Power Systems with High Wind Power Penetration – CY Chung, University of Saskatchewan, Canada
16:00 – 16:40 Physics-Inspired ML for Cyber-Physical Event Detection, Classification and Root Cause Analytics – Anurag K Srivastava, West Virginia University
16:40 – 17:00 Discussions
17:00 Adjourn

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