3 papers
cs.GT2023
An Imitation Learning Based Algorithm Enabling Priori Knowledge Transfer in Modern Electricity Markets for Bayesian Nash Equilibrium Estimation
Ziqing Zhu, Ka Wing Chan, Siqi Bu +2
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 Inde…
cs.GT2023
How to Use Reinforcement Learning to Facilitate Future Electricity Market Design? Part 2: Method and Applications
Ziqing Zhu, Siqi Bu, Ka Wing Chan +2
This two-part paper develops a paradigmatic theory and detailed methods of the joint electricity market design using reinforcement-learning (RL)-based simulation. In Part 2, this t…
cs.AI2023
How to Use Reinforcement Learning to Facilitate Future Electricity Market Design? Part 1: A Paradigmatic Theory
Ziqing Zhu, Siqi Bu, Ka Wing Chan +2
In face of the pressing need of decarbonization in the power sector, the re-design of electricity market is necessary as a Marco-level approach to accommodate the high penetration…