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

A Neural Prediction Model to Predict Power Load Involving Weather Element

Authors
XinLei Li
Corresponding Author
XinLei Li
Available Online June 2016.
DOI
https://doi.org/10.2991/mecs-17.2017.84How to use a DOI?
Keywords
The load of power system, weather element, BP neural network
Abstract
This paper using the BP neural network model to predict the load of power system. This paper takes weather element into account, quantifying the weather element and making them as the input variable. According to the contrast to the predicted model without considering weather element, the results show that the former performs better.
Open Access
This is an open access article distributed under the CC BY-NC license.

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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-17.2017.84How 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  - XinLei Li
PY  - 2016/06
DA  - 2016/06
TI  - A Neural Prediction Model to Predict Power Load Involving Weather Element
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-17.2017.84
DO  - https://doi.org/10.2991/mecs-17.2017.84
ID  - Li2016/06
ER  -