电力系统及其自动化学报2013，Vol.25Issue(4)：145-149,5.
灰色Elman神经网络的电网中长期负荷预测
Prediction of Mid-long Term Load Based on Gray Elman Neural Networks
张健美 1周步祥 1林楠 2张勤 1陈杰1
作者信息
- 1. 四川大学电气信息学院,成都610065
- 2. 四川电力职业技术学院,成都610071
- 折叠
摘要
Abstract
In order to reduce the prediction errors of Elman neural network caused by the sudden load change,a prediction model of load was established by combining the gray model and the Elman neural network prediction model,considering the characteristics of load prediction sample,which is a periodical manner with many uncertain factors.The Elman neural network has the advantages of high capability to adapt the time-varying characteristic,be error-controllable,less data requirement,and easy application of the grey theory.A Gray-Elman network model for prediction of mid-long term load based on the gray theory and neural network is put forward firstly in this paper.This approach was used to test some historical data from a power network.The results are quite satisfying and the model is efficient and accurate.关键词
Elman神经网络/灰色理论/中长期负荷/负荷预测Key words
Elman neural networks/ grey theory/ mid-long term load/ load forecasting分类
信息技术与安全科学引用本文复制引用
张健美,周步祥,林楠,张勤,陈杰..灰色Elman神经网络的电网中长期负荷预测[J].电力系统及其自动化学报,2013,25(4):145-149,5.
