摘要
本文对目前的几种智能负荷预测方法:人工神经网络、模糊预测法、数据挖掘、专家系统、支持向量机的原理、特点及研究情况进行了阐述,从学习能力、运算速度、处理模糊信息能力等角度对这几种方法进行了比较,指出了其中各自的优缺点,同时又结合新疆电网负荷预测的具体情况提出了相适应的负荷预测方法。
This article presents the principles, character and study conditions of several intelligent methods for load forecasting, Artificial Neural Network, Fuzzy, Data Mining, Support Vector Machines, Expert System and Support Vector Machines. These methods are compared by the ability of study, computing speed and the ability of dealing with fuzzy information.Indicate the advantages and disadvantages of these methods. The method for load forecasting of Xinjiang is proposed, considering the situation of Xinjiang.
出处
《电气技术》
2011年第6期49-52,共4页
Electrical Engineering
基金
新疆维吾尔自治区高等学校科研计划重点项目(XJEDU2010116)
关键词
电力系统
负荷预测
方法比较
power system
load forecasting
methods comparison
