摘要
随着经济社会的快速发展，电力系统规模不断扩张，智能化程度也在持续加深，这使得电力调度自动化系统积累了海量的数据。数据挖掘技术凭借自身独特的优势，能够精准提取数据中的潜在价值，助力优化调度决策，为电力系统智能化发展筑牢技术支撑。本文将结合实际案例，深入剖析数据挖掘技术在挖掘异常数据模式、精准预测负荷变化趋势等方面的应用，以此展示其如何显著提升系统运行效率与稳定性。
关键词： 电力调度自动化；数据挖掘技术；异常检测；负荷预测；系统优化
Abstract
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.
Key words： Power dispatch automation; Data mining technology; Anomaly detection; Load forecasting; System optimization
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