Proceedings of the 2016 4th International Conference on Mechanical Materials and Manufacturing Engineering

Short-term power load forecasting based on BAT-BP neural network model

Authors
Jian Di, Tao Yao
Corresponding Author
Jian Di
Available Online October 2016.
DOI
https://doi.org/10.2991/mmme-16.2016.38How to use a DOI?
Keywords
Bat algorithm; BP neural network; Electric power load forecasting
Abstract

Accurate short-term forecasting of power load has important significance in Safe and stable operation and im-provement of economic benefits of electric power system. The electric power system load forecasting usually adopts BP neural network (BPNN) method, but this method has slow convergence speed, is easy to fall in-to local minimum point and has poor robustness. In order to improve the accuracy of electric power load fore-casting, the BA-BP load forecasting model of bat algorithm optimizing BPNN is proposed. Firstly, for each individual bat containing the BPNN parameters, the individual is encoded in a real number encoding, and the average relative error is set as the fitness function, and then get the Best bat individual by simulating the pro-cess of bats flying, So as to get the optimal parameter of BPNN. According to the optimal parameters to es-tablish prediction model, finally, the performance test is carried out by simulation experiment, the contrast curve of training speed and relative error is obtained, the results proved that the BAT-BP prediction model has a significant advantage over the simple BP neural network, and it can improve the accuracy of the load forecasting results.

Copyright
© 2016, 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 2016 4th International Conference on Mechanical Materials and Manufacturing Engineering
Series
Advances in Engineering Research
Publication Date
October 2016
ISBN
978-94-6252-221-3
ISSN
2352-5401
DOI
https://doi.org/10.2991/mmme-16.2016.38How to use a DOI?
Copyright
© 2016, 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  - Jian Di
AU  - Tao Yao
PY  - 2016/10
DA  - 2016/10
TI  - Short-term power load forecasting based on BAT-BP neural network model
BT  - Proceedings of the 2016 4th International Conference on Mechanical Materials and Manufacturing Engineering
PB  - Atlantis Press
SP  - 172
EP  - 177
SN  - 2352-5401
UR  - https://doi.org/10.2991/mmme-16.2016.38
DO  - https://doi.org/10.2991/mmme-16.2016.38
ID  - Di2016/10
ER  -