Safe Reinforcement Learning for Strategic Bidding of Virtual Power Plants in Day-Ahead Markets.
Ognjen StanojevLesia MitridatiRiccardo de Nardis di PrataGabriela HugPublished in: CoRR (2023)
Keyphrases
- bidding strategies
- power plant
- electricity markets
- reinforcement learning
- electric power
- wind power
- market clearing
- power generation
- real option
- coal fired
- market prices
- carbon dioxide
- software agents
- test bed
- online auctions
- resource allocation
- market participants
- soft sensor
- double auction
- soft computing
- fault diagnosis
- trading agents
- expected utility
- machine learning
- real time
- neural network
- optimal policy
- auction mechanisms
- combinatorial auctions
- decision making
- reliability analysis
- artificial intelligence
- electronic marketplaces
- short term
- public institutions
- historical data