智能技术在电力预测模型与数据分析中的应用

Application of Intelligent Technology in Power Forecasting Models and Data Analysis

阐述智能电力设备故障预测状况,提出基于三层数据挖掘结构的配电网故障分类预测模型,包括分类预测模型实现、数据采集和预处理、分类预测模型优化,以保证电力系统的稳定运作和可靠性。

This paper describes the fault prediction status of intelligent power equipment and proposes a distribution network fault classification prediction model based on a three-layer data mining structure,including the implementation of the classification prediction model,data collection and preprocessing,and optimization of the classification prediction model,to ensure the stable operation and reliability of the power system.