Multi-scenarios analysis of electric power alternatives potential based on Grey wavelet neural network model

DOI

10.2991/icmemtc-16.2016.159How to use a DOI?

Keywords

Electric power alternatives; Grey wavelet neural network model; Medium-and long-term multi-scenarios analysis; Potential analysis.

Abstract

The "Electric power alternatives" scheme proposed by China State Grid Corp in 2013, aiming at replacing coal and petroleum by electricity in terminal energy consumption. Based on Gray wavelet neural network model, a multi-scenarios analysis method is designed to predict the terminal energy consumption trend and analyze the potential of Electric power alternatives in the medium to long term. The combined forecasting model predicts terminal energy consumption effectively. Finally, the paper quantizes the potential of substitution and analyzes the terminal electric energy consumption in the medium to long term under different scenarios.

Copyright

© 2016, 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  - Baoguo Shan
AU  - Dexiang Jia
AU  - Mo Shi
AU  - Shuang Zhou
AU  - Yi Sun
AU  - Molin Huo
PY  - 2016/04
DA  - 2016/04
TI  - Multi-scenarios analysis of electric power alternatives potential based on Grey wavelet neural network model
BT  - Proceedings of the 2016 3rd International Conference on Materials Engineering, Manufacturing Technology and Control
PB  - Atlantis Press
SP  - 808
EP  - 815
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmemtc-16.2016.159
DO  - 10.2991/icmemtc-16.2016.159
ID  - Shan2016/04
ER  -