| 基于模糊集的电力系统神经网络负荷预报研究 |
| |
| 引用本文： | 刘涤尘,夏昌浩,胡翔勇,刘黎明. 基于模糊集的电力系统神经网络负荷预报研究[J]. 武汉大学学报(工学版), 2002, 35(4): 68-71 |
| |
| 作者姓名： | 刘涤尘 夏昌浩 胡翔勇 刘黎明 |
| |
| 作者单位： | 1. 武汉大学电气工程学院,湖北,武汉,430072
2. 三峡大学电气信息学院,湖北,宜昌,443002 |
| |
| 摘 要： | 提出了电力系统短期负荷预报基于模糊集的神经网络方法 .该方法计及了天气和日期特征量 ,具有训练时间短预测精度高的特点 .采用两种学习算法 ,依据模糊集概念用某地区电网实际数据建立样本集后 ,对ANN进行了训练 ,通过分析比较得出了优化模型 .计算事例表明用该方法是可行和有效的
|
| 关 键 词： | 模糊集 神经网络(ANN) 短期负荷预报 电力系统 BP算法 |
| 文章编号： | 1006-155X(2002)04-068-04 |
| 修稿时间： | 2001-12-21 |
Load forecasting of power system using artificial neural network based on fuzzy set |
| |
| LIU Di_chen+,XIA Chang_hao+,HU Xiang_yong+,LIU Li_ming+. Load forecasting of power system using artificial neural network based on fuzzy set[J]. Engineering Journal of Wuhan University, 2002, 35(4): 68-71 |
| |
| Authors: | LIU Di_chen+ XIA Chang_hao+ HU Xiang_yong+ LIU Li_ming+ |
| |
| Affiliation: | LIU Di_chen+1,XIA Chang_hao+2,HU Xiang_yong+2,LIU Li_ming+1 |
| |
| Abstract: | A short_term load forecasting approach using artificial neural network based on fuzzy set is presented. The weather variables and date variables are considered; therefore the approach is better at respects of training time and forecasting accuracy. After training specimen set is established based on actual data of a region, two algorithms are used to train ANN in order to acquire more better results. The calculation results show that this approach is practical and effective. |
| |
| Keywords: | fuzzy set artificial neural network short_term load forecasting power system BP algorithm |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
