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
https://doi.org/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.
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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
978-94-6252-352-4
ISSN
2352-5401
DOI
https://doi.org/10.2991/mecs-17.2017.61How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

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  - https://doi.org/10.2991/mecs-17.2017.61
ID  - Yi2016/06
ER  -