The Research of Power System Short-term Load Forecasting

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/).

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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  -