| 几种电力负荷预测方法的比较 |
| |
| 引用本文： | 李鹏飞,加玛力汗·库马什,常喜强.几种电力负荷预测方法的比较[J].电气技术,2011(6):49-52. |
| |
| 作者姓名： | 李鹏飞 加玛力汗·库马什 常喜强 |
| |
| 作者单位： | 1. 新疆大学电气工程学院,乌鲁木齐,830047
2. 新疆电力公司,乌鲁木齐,830002 |
| |
| 基金项目： | 新疆维吾尔自治区高等学校科研计划重点项目(XJEDU2010116) |
| |
| 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。
|
| 关 键 词： | 电力系统 负荷预测 方法比较 |
Comparison of Several Methods for Power Load Forecasting |
| |
| Li Pengfei,Jiamalihan· Kumashi,Chang Xiqiang.Comparison of Several Methods for Power Load Forecasting[J].Electrical Engineering,2011(6):49-52. |
| |
| Authors: | Li Pengfei Jiamalihan· Kumashi Chang Xiqiang |
| |
| Affiliation: | Li Pengfei1 Jiamalihan·Kumashi1 Chang Xiqiang2(1.College of Electrical Engineering,Xinjiang University,Urumqi 830047,2.Electric Power of Xinjiang,Urumqi 830002) |
| |
| Abstract: | 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. |
| |
| Keywords: | power system load forecasting methods comparison |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
