Abstract:

Energy storage system is the core part of modern power resources, so its correct performance evaluation is the key to ensuring power supply. With the current technological development of energy storage systems, traditional experimental evaluation strategies based on physical models are no longer able to meet application requirements. As a relatively advanced data-driven algorithm at present, data mining algorithms provide new ideas for the performance evaluation of energy storage systems. This article first introduces the research progress of data mining algorithms, including data processing research, data algorithm optimization research, and deep learning; On this basis, the evaluation process of energy storage systems under data mining is further elaborated. It has been proven that data mining technology can correctly, timely, and effectively extract a large amount of energy storage data information, capture its risk issues, and provide important data support for the healthy operation and monitoring of the system.

Key words: energy storage, data mining, electricity resources