基于数据挖掘的电网高峰负荷预测系统

Peak Load Forecasting System Based on Data Mining

分析电网高峰负荷运行规律,以数据挖掘为核心技术,搭建数据仓库平台,在此基础上给出一种混合策略的神经网络的高峰负荷预测系统,该系统将模糊聚类、L-M神经网络等综合技术融合一体,可以从海量负荷数据中挖掘出有用知识为电网高峰负荷预测服务。

This paper analyzes running law of peak load in power system. By the key technology of data mining, the platform of data warehouse is structured, and a system of mixing optimizing algorithm of neural network for peak load forecasting is developed. There is the synthetic technology of fuzzy cluster and L-M neural network together in this system. Excavating the useful knowledge from magnanimity data can offer the effective and accurate predicting information for the peak load.