2 citations · 3 across the 6 of their papers we have counts for
6 papers
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…
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…
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…
Data-Driven Prediction and Evaluation on Future Impact of Energy Transition Policies in Smart Regions
Chunmeng Yang, Siqi Bu, Yi Fan +3
To meet widely recognised carbon neutrality targets, over the last decade metropolitan regions around the world have implemented policies to promote the generation and use of susta…
Review of Energy Transition Policies in Singapore, London, and California
Chunmeng Yang, Siqi Bu, Yi Fan +3
The paper contains the online supplementary materials for "Data-Driven Prediction and Evaluation on Future Impact of Energy Transition Policies in Smart Regions". We review the ren…
Applications of Reinforcement Learning in Deregulated Power Market: A Comprehensive Review
Ziqing Zhu, Ze Hu, Ka Wing Chan +3
The increasing penetration of renewable generations, along with the deregulation and marketization of power industry, promotes the transformation of power market operation paradigm…