most citedDecentralized and Privacy-Preserving Learning of Approximate Stackelberg Solutions in Energy Trading Games with Demand Response Aggregators

9 citations · 9 across the 1 of their papers we have counts for

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1 paper

cs.LG2023★ 9 cited

Decentralized and Privacy-Preserving Learning of Approximate Stackelberg Solutions in Energy Trading Games with Demand Response Aggregators

Styliani I. Kampezidou, Justin Romberg, Kyriakos G. Vamvoudakis +1

In this work, a novel Stackelberg game theoretic framework is proposed for trading energy bidirectionally between the demand-response (DR) aggregator and the prosumers. This formul…