An Imitation Learning Based Algorithm Enabling Priori Knowledge Transfer in Modern Electricity Markets for Bayesian Nash Equilibrium Estimation. (arXiv:2305.06924v2 [cs.GT] UPDATED)

The Nash Equilibrium (NE) estimation in bidding games of electricity markets
is the key concern of both generation companies (GENCOs) for bidding strategy
optimization and the Independent System Operator (ISO) for market surveillance.
However, existing methods for NE estimation in emerging modern electricity
markets (FEM) are inaccurate and inefficient because the priori knowledge of
bidding strategies before any environment changes, such as load demand
variations, network congestion, and modifications of market design, is not
fully utilized. In this paper, a …

algorithm arxiv bayesian companies electricity enabling equilibrium games imitation learning independent knowledge markets nash equilibrium optimization strategy surveillance the key transfer