基于数据挖掘的日负荷曲线预测与修正

摘要

分析了传统负荷预测方法的缺点，提出了一种基于数据挖掘技术的负荷预测方法。利用决策树算法进行负荷预测，根据预测结果找出负荷不正常点。依靠关联规则算法，对不正常负荷进行修正，从而使预测结果更加精确。%Analyzing the shortcoming of traditional load forecast method, a method of load forecast based on data mining is put forward. Using the decision tree algorithm to make load forecasting, abnormal load data is found among the load forecasting results. This paper relies on association rules algorithm to modify the abnormal load, so that the load forecasting results will be more accurate.