An Overview and Prospect of Artificial Intelligence Applied in Electricity Spot Market

Under the “double carbon” strategic goal, the development of distributed energy facilities aims to drive further reform in China's electricity spot market. However, electricity spot market participants face increasingly complex and challenging issues in power trading. At the same time, AI has shown its broad prospects in the field of new energy power system operation and control, but also in the electricity spot market transactions to show its strong vitality. This paper generally reviews the research of AI in the field of electricity spot market trading and gives its broad prospects. This paper focuses on analysing more than a dozen literatures in this field in the last two years and draws timelines and tables to illustrate the research progress. Firstly, this paper summarises the electricity spot market structure and its current problems. Secondly, this paper summarizes and compares the applications of three key technologies in electricity spot market trading: traditional machine learning and AI semantic large models, reinforcement learning-assisted decision-making, and meteorological large models. Finally, this paper envisions the application of AI in electricity spot market trading through the development of AI large model electricity platforms, offering a cutting-edge research direction in future. In summary, this paper helps relevant researchers to carry out work on AI applications in the area of electricity spot market.