电气技术Issue(2)：36-38,3.
基于RBF神经网络的电力系统月度负荷预测研究
The Study of Power System Monthly Load Forecasting on RBF Neural Network
张丽芳 1岳丽霖 2连美霞3
作者信息
- 1. 山西地方电力有限公司,太原030009
- 2. 中国石油天然气有限公司吐哈油田分公司吐鲁番采油厂,新疆吐鲁番838200
- 3. 机械工业信息研究院,北京100037
- 折叠
摘要
Abstract
Monthly load forecasting is one of the important works of the scheduling, planning, marketing of the power system. In this paper, according to the factors influencing the monthly load, load forecasting model based on BRF neural network were established using Matlab toolbox. Furthermore, monthly load of an area of 2009 was predicted using this model, and the relative error is 1.96%. The forecast results show that the model has higher precision and can achieve the goals of practical applications of engineering.关键词
RBF神经网络/电力系统/月度负荷预测Key words
RBF neural network/power system/monthly load forecasting分类
信息技术与安全科学引用本文复制引用
张丽芳,岳丽霖,连美霞..基于RBF神经网络的电力系统月度负荷预测研究[J].电气技术,2012,(2):36-38,3.
