consumption during peak hours in exchange for discounted grid tariffs. But how can such a community deliver this service through dynamic pricing? And what’s the best way to ensure fair distribution of the collective benefits? If these questions intrigue you, check out the article for a deeper dive!

bidding either 0 or the entire available capacity in the day-ahead market. We addressed this issue by introducing explicit risk constraints to the bidding problem, mitigating this "betting" behavior, while using historical data to learn a linear bidding policy. Hope you find it interesting to read!

Slides: drive.google.com/file/d/1zMKQ...

Link: energy-markets-school.dk

Speakers:
Paul Joskow (MIT)
Richard O'Neil (formerly @ FERC and ARPA-e)
Natalia Fabra (UC3M)
Bissan Gaddar (Ivey Business School & DTU)
Azarakhsh Malekian (U of Toronto)
Jochen Cremer (TU Delft)
Form DTU: Lesia Mitridati, Licio Romao, Spyros Chatzivasileiadis, & Jalal Kazempour