Assessing long-term electricity market design for ambitious decarbonization targets using multi-agent reinforcement learning

Electricity systems are key to transforming today’s society into a carbon-free economy. Long-term electricity market mechanisms, including auctions, support schemes, and other policy instruments, are critical in shaping the electricity generation mix. In light of the need for more advanced tools to...

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Auteurs principaux:	Javier Gonzalez-Ruiz, Carlos Rodriguez-Pardo, Iacopo Savelli, Alice Di Bella, Massimo Tavoni
Format:	Artigo
Langue:	Inglês
Publié:	Elsevier 2026-01-01
Collection:	Energy and AI
Sujets:	Multi-agent reinforcement learning Agent-based modeling Electricity markets Energy transition Energy policy Capacity markets
Accès en ligne:	http://www.sciencedirect.com/science/article/pii/S2666546825001971
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