摘要
通过对国内外现状的研究,简述了短期负荷预测的特点和影响预测精度的各种因素,阐述了电力系统短期负荷预测的智能方法,分析比较了各种方法的优缺点。研究表明组合优选方法是电力系统短期负荷预测的发展趋势。
Through the study of the status quo at home and abroad, this paper outlines the characteristics of short-term load forecasting and factors affecting the prediction precision, systematically expounds the intelligent methods of short-term load forecasting in the electric power system, and analyzes and compares the advantages and disadvantages of various methods. The result of the study has shown that combination optimization is the development trend for short-term load forecasting in the electric power system.
出处
《电气自动化》
2015年第1期1-3,39,共4页
Electrical Automation
基金
国家自然基金资助项目(50967001)
甘肃省自然基金1308RJZA117
关键词
负荷预测
神经网络
数据挖掘
支持向量机
组合优选
load forecasting
neural network
data mining support vector machine （ SVM ）
combination optimization
