Proceedings of the 2017 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017)

The Research of Power System Short-term Load Forecasting

Authors
Jie Yi
Corresponding Author
Jie Yi
Available Online June 2016.
DOI
10.2991/mecs-17.2017.61How to use a DOI?
Keywords
Short-term load forecasting; Grey prediction; BP neural network
Abstract

The precision of Power system short-term load forecasting directly is essential in running an efficient and economic power network.For the purpose of seeking reasonable predicting methods to predict electric load in a given period based on existing electricity capacity data,we select similar days of a given period and construct grey prediction model and BP neural network methods.

Copyright
© 2017, 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/).

Download article (PDF)

Volume Title
Proceedings of the 2017 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017)
Series
Advances in Engineering Research
Publication Date
June 2016
ISBN
10.2991/mecs-17.2017.61
ISSN
2352-5401
DOI
10.2991/mecs-17.2017.61How to use a DOI?
Copyright
© 2017, 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  - Jie Yi
PY  - 2016/06
DA  - 2016/06
TI  - The Research of Power System Short-term Load Forecasting
BT  - Proceedings of the 2017 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017)
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/mecs-17.2017.61
DO  - 10.2991/mecs-17.2017.61
ID  - Yi2016/06
ER  -