Journal of Electrical Engineering and Automation

With the rapid development of the economy and society, the scale of power systems has continuously expanded, and their level of intelligence has also deepened. This has led to the accumulation of massive amounts of data in power dispatch automation systems. Data mining technology, leveraging its unique advantages, can accurately extract potential value from data, aiding in optimizing dispatch decisions and providing robust technical support for the intelligent development of power systems. This article will delve into practical cases to analyze how data mining technology is applied in uncovering abnormal data patterns and precisely predicting load change trends, thereby demonstrating how it significantly enhances system operational efficiency and stability.

Power dispatch automation; Data mining technology; Anomaly detection; Load forecasting; System optimization