GSA Application in Energy Management

DOI

10.2991/iceep-17.2017.127How to use a DOI?

Keywords

Energy management; Grey system; Grey prediction; Grey correlation analysis

Abstract

Energy consumption has seen a sharp increase with the rapid sci-tech development in China, which leads to an urgent demand on efficient, scientific and reasonable energy management methods to predict and evaluate energy consumption and improve the energy utilization rate. Based on the theory of grey system analysis (GSA), two methods, the grey prediction and grey correlation analysis , are applied in the paper to the prediction and evaluation of energy consumption, which is the main focus of energy management. Following it, the validity and practicability of models constructed in the paper are tested through a empirical study of the relevant data of a residential project in Gaoling county. The scientific prediction and evaluation of energy consumption is realized in this research to provide scientific decision-making basis for the energy savings of the project units, and a strong theoretical and guiding significance for the development of energy management in the future.

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  - Wenyu Zhang
AU  - Yu Xue
AU  - Fengxia Yang
AU  - Qi Yu
AU  - Haiyan Fan
PY  - 2017/06
DA  - 2017/06
TI  - GSA Application in Energy Management
BT  - Proceedings of the 2017 6th International Conference on Energy and Environmental Protection (ICEEP 2017)
PB  - Atlantis Press
SP  - 715
EP  - 724
SN  - 2352-5401
UR  - https://doi.org/10.2991/iceep-17.2017.127
DO  - 10.2991/iceep-17.2017.127
ID  - Zhang2017/06
ER  -