BP Neural Networks Algorithm Applied in Electric Load Prediction

DOI

10.2991/icibet.2013.289How to use a DOI?

Abstract

After analyzing the meaning and ways of electric system load prediction, this essay illustrates the general theory of the BP neural networks and study the load pre-diction methods based on BP neural net-works. It analyzes the neural networks sample value methods, performs encum-brance for historical data, then, it prepro-cesses the load data. The accuracy of the load prediction results is closely related to the preprocessing of the load data. The data processed correctly will produce dis-tinct effect on the accuracy of the predic-tion results. Contrarily, inputting the load data unprocessed into the neural networks will result in prediction failure. This essay designs the structure of the algorithm of BP neural networks. At last, it analyzes the data of the case study of electric load prediction.

Copyright

© 2013, 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  - Ping Duan
PY  - 2013/03
DA  - 2013/03
TI  - BP Neural Networks Algorithm Applied in Electric Load Prediction
BT  - Proceedings of the 2013 International Conference on Information, Business and Education Technology (ICIBET 2013)
PB  - Atlantis Press
SP  - 1330
EP  - 1333
SN  - 1951-6851
UR  - https://doi.org/10.2991/icibet.2013.289
DO  - 10.2991/icibet.2013.289
ID  - Duan2013/03
ER  -