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

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Kampezidou, Styliani I., Romberg, Justin, Vamvoudakis, Kyriakos G., Mavris, Dimitri N.
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Machine Learning Computer Science and Game Theory
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

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