|
|||||
|
|
| 电力系统短期负荷预测的混合模型神经元网络方法 | |
| 引用本文： | 赖晓平,周鸿兴,田发中.电力系统短期负荷预测的混合模型神经元网络方法[J].电网技术,2000,24(1):47-51. |
| 作者姓名： | 赖晓平 周鸿兴 田发中 |
| 作者单位： | 1. 山东大学威海分校控制工程系,威海,264209 2. 山东大学数学与系统科学院,济南,250100 3. 积成电子实验所,济南,250100 |
| 基金项目： | 国家自然科学基金!（69774002） |
| 摘 要： | 提出了一种将线性模型方法和神经元网络方法相结合的负荷预测方法－－混合模型神经元网络方法。该方法将一部分线性变化的负荷分量用线性模型描述，其它发量用神经元网络建立，国而同时具有线性模型的优点和神经元网络的优点。交过一方法用于江苏省连云港市超前２４小时负荷预测，取得了比单纯的神经元网络模型高的预测精度。 |
| 关 键 词： | 短期负荷预测 线性模型 电力系统 神经元网络 |
A HYBRID MODEL NEURAL NETWORK BASED APPROACH TO SHORT-TERM LOAD FORECASTING |
|
| LAI Xiao-ping,ZHOU Hong-xing,TIAN Fa-zhong.A HYBRID MODEL NEURAL NETWORK BASED APPROACH TO SHORT-TERM LOAD FORECASTING[J].Power System Technology,2000,24(1):47-51. | |
| Authors: | LAI Xiao-ping ZHOU Hong-xing TIAN Fa-zhong |
| Abstract: | A hybrid model neural network based approach to short\|term load forecasting is presented in this paper.This approach is a combination of linear model based method and neural network based method, thus it possesses the advantages from both methods. In this approach, some load components are described by linear models and the others are modeled by neural networks. Simulations show that with this approach a more accurate forecasting can be made than with simple neural network based method. |
| Keywords: | short\|term load forecasting linear models neural networks hybrid model neural networks |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |