| 一种改进的电力系统短期负荷预测方法 |
| |
| 引用本文： | 赵学成,王丽君,赵宇红.一种改进的电力系统短期负荷预测方法[J].湖南电力,2006,26(1):23-25,56. |
| |
| 作者姓名： | 赵学成 王丽君 赵宇红 |
| |
| 作者单位： | 1. 巫水流域水利水电开发有限公司,湖南,邵阳,422500
2. 南华大学电气工程学院,湖南,衡阳,421001 |
| |
| 摘 要： | 为提高电力系统短期负荷预测精度,综合模糊逻辑和神经网络的长处构建了基于自适应模糊神经网络的短期负荷预测模型.将该模型和算法应用于地区电网的短期负荷预测,预测效果良好.
|
| 关 键 词： | 电力系统 短期负荷预测 自适应模糊神经网络 |
| 文章编号： | 1008-0198（2006）01-0023-04 |
| 收稿时间： | 2005-10-31 |
| 修稿时间： | 2005-10-31 |
An improved electric power system short-term load forecasting method |
| |
| ZHAO Xue-cheng,WANG Li-jun,ZHAO Yu-hong.An improved electric power system short-term load forecasting method[J].Hunan Electric Power,2006,26(1):23-25,56. |
| |
| Authors: | ZHAO Xue-cheng WANG Li-jun ZHAO Yu-hong |
| |
| Affiliation: | 1. Wu Shui Basin Hydropower Co. Ltd. , Shaoyang 422500, China; 2. Electrical Engineering institute, Nanhua University, Hengyang 421001, China |
| |
| Abstract: | In order to improve the precision of electric power system load forecasting,a short-term load forecasting model based on adaptive fuzzy neural network is put foreword.The proposed STLF method is applied in some local power system and forecasting performance is satisfied. |
| |
| Keywords: | electric power system short-term load forecasting adaptive fuzzy neural network |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
