An application of short-term load-forecasting based on artificial neural network

被引：0

作者：

Wu, JJ ^{[1
]}

Ni, QD ^{[1
]}

Meng, SL ^{[1
]}

Liu, HM ^{[1
]}

机构：

[1] Nanjing Univ Sci & Technol, Nanjing 210094, Peoples R China

来源：

98 INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE & ENGINEERING, PROCEEDINGS | 1998年

关键词：

artificial neural network (ANN); back propagation (BP) algorithm; short-term load forecasting;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Based on the theory of artificial neural network(ANN),a three-layer back propagation(BP) network is proposed. The idea is to predict short-term load using the ability of ANN to model arbitrary nonlinear systems. In order to im,Drove training speed, the training data are pretreated and a additional impulse term is introduced into BP algorithm. In order to improve the precision, the selection of the hidden nodes is studied in this paper, and a best network is generated finally. Simulation results show that the effectiveness of the proposed method based on ANN.

引用

页码：102 / 105

页数：4