Proceedings of the 2015 International conference on Applied Science and Engineering Innovation

Short-term Load Forecasting Based on VPSO-Elman Neural Network

Authors
Bo Chen, Xiaozi Cui, Lili Yuan, Xian Chen
Corresponding Author
Bo Chen
Available Online May 2015.
DOI
10.2991/asei-15.2015.335How to use a DOI?
Keywords
VPSO algorithm; Elman neural network; Short-term load forecasting; MATLAB.
Abstract

Because of the shortcomings which Elman neural network in the short-term load forecasting of power system is easy to fall into local minimum, slow convergence, Use VPSO (Variance Particle Swarm Optimization) to train Elman neural network in order to get optimal weights and thresholds. The optimized Elman network can avoid the convergence speed and getting into local minimum solution and other defects to the full. So it possesses best potential application in the field of short-term load forecasting.

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 2015 International conference on Applied Science and Engineering Innovation
Series
Advances in Engineering Research
Publication Date
May 2015
ISBN
978-94-62520-94-3
ISSN
2352-5401
DOI
10.2991/asei-15.2015.335How 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  - Bo Chen
AU  - Xiaozi Cui
AU  - Lili Yuan
AU  - Xian Chen
PY  - 2015/05
DA  - 2015/05
TI  - Short-term Load Forecasting Based on VPSO-Elman Neural Network
BT  - Proceedings of the 2015 International conference on Applied Science and Engineering Innovation
PB  - Atlantis Press
SP  - 1695
EP  - 1698
SN  - 2352-5401
UR  - https://doi.org/10.2991/asei-15.2015.335
DO  - 10.2991/asei-15.2015.335
ID  - Chen2015/05
ER  -