Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015

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

Authors
Linsuo Zeng, Xinmiao Jia, Jiafeng Xu, Yuliang Jia
Corresponding Author
Linsuo Zeng
Available Online December 2015.
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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Volume Title
Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015
Series
Advances in Computer Science Research
Publication Date
December 2015
ISBN
978-94-6252-133-9
ISSN
2352-538X
DOI
10.2991/icmmcce-15.2015.431How to use a DOI?
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/).

Cite this article

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  -