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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Bibliografiska uppgifter

Huvudupphov:	Javier Gonzalez-Ruiz, Carlos Rodriguez-Pardo, Iacopo Savelli, Alice Di Bella, Massimo Tavoni
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	Elsevier 2026-01-01
Serie:	Energy and AI
Ämnen:	Multi-agent reinforcement learning Agent-based modeling Electricity markets Energy transition Energy policy Capacity markets
Länkar:	http://www.sciencedirect.com/science/article/pii/S2666546825001971
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