Energy Optimization Based on Big Data

DOI

10.2991/ncce-18.2018.55How to use a DOI?

Keywords

LMDI; Multiple Regression Analysis; Factor Analysis; Time Series Analysis

Abstract

In this paper, a model is established to research the energy profile in the four states. The mainly work is the analysis on energy profile. After deleting the redundant data in the given table and supplying the missing data, we divide energy into several categories. Then, we take the sustainable energy development as the goal, adopting factor analysis model to get the weight vector. Then through the establishment of a comprehensive evaluation system, we get the energy profile order from superior to inferior: California (CA), Texas (TX), Arizona (AZ), New Mexico (NM) in 2009 according to the comprehensive index and the coupling degree. It is shown that the proposed model is feasible and robust. Besides, it provides new ideas for the rational allocation of regional energy.

Copyright

© 2018, 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  - Huan Li
AU  - Zhe Xu
AU  - Xiangjiang Wu
PY  - 2018/05
DA  - 2018/05
TI  - Energy Optimization Based on Big Data
BT  - Proceedings of the 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018)
PB  - Atlantis Press
SP  - 353
EP  - 356
SN  - 1951-6851
UR  - https://doi.org/10.2991/ncce-18.2018.55
DO  - 10.2991/ncce-18.2018.55
ID  - Li2018/05
ER  -