Analysis of Renewable Energy in Four States of USA

DOI

10.2991/mmsa-18.2018.100How to use a DOI?

Keywords

entropy weight coefficient method model; regression model; clean and renewable energy

Abstract

Four states, California (CA), Arizona (AZ), new Mexico (NM) and Texas (Texas), have to use clean and renewable energy to form a new energy contract for the purpose of solving the energy challenge. Due to the complexity of the influencing factors, regression models may lead to deviations, so factor analysis is used to calculate the contribution of each factor. We conclude that the following 5 factors: TEICB (total energy consumed in industrial sector), TERCB (residential sector of total energy consumption), TEEIB (total energy of electric power consumption), AR (average rainfall), AWS (average wind speed) affect the similarities and differences of the four states at most.

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  - Bingjun Li
AU  - Yuan Wang
AU  - Yiteng Gao
AU  - Linke Zhu
PY  - 2018/03
DA  - 2018/03
TI  - Analysis of Renewable Energy in Four States of USA
BT  - Proceedings of the 2018 International Conference on Mathematics, Modelling, Simulation and Algorithms (MMSA 2018)
PB  - Atlantis Press
SP  - 454
EP  - 455
SN  - 1951-6851
UR  - https://doi.org/10.2991/mmsa-18.2018.100
DO  - 10.2991/mmsa-18.2018.100
ID  - Li2018/03
ER  -