摘要
针对电力负荷预测影响因素多,传统预测方法精度不高,本文分析电力负荷预测影响因素,建立基于支持向量机的电力负荷预测模型。通过OpenCV实验,仿真结果表明本文对电力负荷预测具有较高的预测精度和较快的训练速度。
According to many influencing factors of power load forecasting, traditional prediction accuracy cannot realize high, this paper analysis the influence factors of power load forecasting.A prediction model of power load based on support vector machine(SVM)was established.The simulation results on OpenCV show that the higher accuracy and faster training speed of electric power load forecasting.
出处
《电子世界》
2014年第7期45-46,共2页
Electronics World
基金
广西财经学院2013年度校级课题立项资助(2013A016)