Proceedings of the 2015 3rd International Conference on Machinery, Materials and Information Technology Applications

A Short Term Load Forecasting Algorithm Based on Gray Elman Neural Network and Genetic Algorithm

Authors
Baoyi Wang, Zheng Wang, Shaomin Zhang
Corresponding Author
Baoyi Wang
Available Online November 2015.
DOI
https://doi.org/10.2991/icmmita-15.2015.102How to use a DOI?
Keywords
gray theory; genetic algorithm; Elman neural network; load forecasting
Abstract

Short term power load sample is highly variable, and the influence factors are not determined, the data sample is little. In view of the characteristics of the load, we combine the Grey Theory and Elman neural network to predict the short-term power load. Because the gray neural network convergence is slow, We introduce the genetic algorithm to the gray Elman neural network optimization, and propose the genetic algorithm to optimize the gray Elman neural network algorithm, the genetic algorithm to optimize the gray Elman neural network algorithm is applied to short-term load forecast. Experimental results show that the prediction accuracy is improved. The algorithm achieves fast convergence, and it is feasible and effective.

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 3rd International Conference on Machinery, Materials and Information Technology Applications
Series
Advances in Computer Science Research
Publication Date
November 2015
ISBN
10.2991/icmmita-15.2015.102
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmmita-15.2015.102How 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  - Baoyi Wang
AU  - Zheng Wang
AU  - Shaomin Zhang
PY  - 2015/11
DA  - 2015/11
TI  - A Short Term Load Forecasting Algorithm Based on Gray Elman Neural Network and Genetic Algorithm
BT  - Proceedings of the 2015 3rd International Conference on Machinery, Materials and Information Technology Applications
PB  - Atlantis Press
SP  - 526
EP  - 531
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmita-15.2015.102
DO  - https://doi.org/10.2991/icmmita-15.2015.102
ID  - Wang2015/11
ER  -