Correlation and Causality Analysis of Multi-Source Data in Yunnan Province
Authors: 
Hui Chen, Jian Hu, Zuyuan Huang, Yibin Zhang, Jie LiAuthors Info & Claims
Pages 35 - 40
Abstract
The analysis of the correlation and causality between electricity consumption and economic development and industrial structure has gradually become the focus of government and many enterprises. We use data mining to empirically analyze the spatial-temporal coupling characteristics of power consumption, economic development and industrial structure in Yunnan Province, and discuss the correlation and causality among them according to the characteristics of multi-source data. Analysis for both GDP and industrial structure and power consumption has a strong correlation and causation, including GDP, the first industry and the tertiary industry and electricity consumption have two-way granger causality, the second industry is the granger cause of the electricity consumption and so both GDP and industrial structure can be used as an important factor of Yunnan electric power research. In addition, combined with the research results and the current situation of Yunnan Province, this paper gives some suggestions for the government and enterprises of Yunnan Province in the future.
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Published In
November 2022
739 pages
ISBN:9781450396806
DOI:10.1145/3582935
Copyright © 2022 ACM.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 10 April 2023
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- Research-article
- Research
- Refereed limited
Funding Sources
- Demonstration project of comprehensive government management and large-scale industrial application of the major special project of CHEOS: 89-Y50G31-9001-22/23
Conference
ICITEE 2022
ICITEE 2022: 5th International Conference on Information Technologies and Electrical Engineering
November 4 - 6, 2022
Changsha, China
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