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