A Neural Prediction Model to Predict Power Load Involving Weather Element

DOI

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.

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/).

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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  - 10.2991/mecs-17.2017.84
ID  - Li2016/06
ER  -