Provincial Energy Supply and Demand Risk Assessment Based on GRA-AHP-EWM Method
Authors: 
Xianfu Gong, Yilin Huang, Xiaoke Yun, Tianren Zhang, Yaodong Li, Bo PengAuthors Info & Claims
Xianfu Gong, Yilin Huang, Xiaoke Yun, Tianren Zhang, Yaodong Li, Bo PengAuthors Info & ClaimsPages 699 - 704
Abstract
This paper presents a developed model that combines Grey Relation Analysis (GRA), Analytic Hierarchy Process (AHP), and entropy weight method (EMM) to accurately assess the current state of provincial energy supply security and understand the underlying factors influencing it. The model considers nine key indicators, including the historical supply-demand gap of provincial energy, and examines provincial energy security from three perspectives: energy hazard, vulnerability, and comprehensive prevention capability. By analyzing these indicators, the study provides a comprehensive understanding of the mechanisms influencing the supply-demand balance of provincial energy at different time scales. This research offers valuable theoretical support for data-driven energy supply-demand balance management. The risk assessment accuracy of the model reaches 100%.
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Published In
November 2023
1156 pages
ISBN:9798400716478
DOI:10.1145/3656766
Copyright © 2023 ACM.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 01 June 2024
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- Research-article
- Research
- Refereed limited
Funding Sources
- China Southern Power Grid Co., Ltd
Conference
ICBAR 2023
ICBAR 2023: 2023 3rd International Conference on Big Data, Artificial Intelligence and Risk Management
November 24 - 26, 2023
Chengdu, China
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