Unit-Commitment-Guided Online Learning for Day-Ahead Electricity Market Bidding
This paper proposes a unit-commitment-guided multi-armed bandit method for learning bidding strategies of a generation company participating in a day-ahead electricity market under generator constraints, award uncertainty, and imbalance settlement. The proposed method separates pre-market unit commitment (pre-UC), whic...