The research about electricity market simulation based on intelligent agent-based algorithms

This system provides an approach to study the electricity market by means of simulation experiments. According to the released market bidding information, quotations are generated by intelligent agent-based algorithms. Bidding generation process of intelligent agent is a machine learning process. Usually, it simulates the bidding process by learning the bidding of the same trading processes repeatedly according to the market clearing results. Several simulation experiments of long-term energy trades are carried out on this system. And the results indicate that this system can simulate the actual market environment to a certain extent.