Application of Power System Short-Term Load Forecasting Based on Wavelet Analysis

DOI

10.2991/icmmcce-15.2015.431How to use a DOI?

Keywords

power load forecasting,wavelet analysis,wavelet neural network

Abstract

Power load forecasting is an important part of power grid scheduling,operation and maintenance.It is also the basis of economic operation and security of electric power system.It has important significance to the stability and development of electric power system.This paper introduces the theory of wavelet analysis,and combined with neural network to form a wavelet neural network forecasting model,analysis the characteristics of the wavelet neural network,wavelet neural network algorithm design.Comparison of the results of the wavelet neural network and BP neural network,it is proved that the wavelet neural network model has the characteristics of high prediction accuracy,fast convergence speed,better prediction effect.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Linsuo Zeng
AU  - Xinmiao Jia
AU  - Jiafeng Xu
AU  - Yuliang Jia
PY  - 2015/12
DA  - 2015/12
TI  - Application of Power System Short-Term Load Forecasting Based on Wavelet Analysis
BT  - Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015
PB  - Atlantis Press
SP  - 1315
EP  - 1319
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmcce-15.2015.431
DO  - 10.2991/icmmcce-15.2015.431
ID  - Zeng2015/12
ER  -