Management and information disclosure of electric power environmental and social governance issues in the age of artificial intelligence. (December 2022)

• Record Type: Journal Article
• Authors: Bai, Shixiu; Zhang, Jinxia
• Is Part Of: Computers & electrical engineering. Volume 104:Part A(2022)
• Publication Date: 2022-12
• Subjects: Artificial Intelligence -- Power ESG -- Issue Management -- Information Disclosure -- Clean Energy -- Exhaust Emissions; Computer engineering -- Periodicals; Electrical engineering -- Periodicals; Electrical engineering -- Data processing -- Periodicals; Ordinateurs -- Conception et construction -- Périodiques; Électrotechnique -- Périodiques; Électrotechnique -- Informatique -- Périodiques; Computer engineering; Electrical engineering; Electrical engineering -- Data processing; Periodicals; Electronic journals; 621.302854
• DOI: 10.1016/j.compeleceng.2022.108390
• Languages: English
• ISSNs: 0045-7906

Abstract

Abstract: This paper explores the key issues of environmental and social governance (ESG) issues and identifies the main ESG themes for companies in the power industry: sustainable development of green and clean energy, energy conservation and emission reduction, physical and mental safety of professionals, global climate change mitigation, supply chain management, community relationships, responsible governance. In-depth research and comparison are carried out on the related issues of sustainable development. Through validation, it is shown that these issues can have further solutions on ESG issues. Compared to other industries, the number of companies working on AI clean energy has increased by about 25%. In the artificial intelligence management of exhaust emissions, it will be reduced by about 20% than before. After using artificial intelligence, the health index of employees increased by about 4% year-on-year. Enterprise management efficiency has also increased by about 6%. This also shows that in the age of artificial intelligence, everything will be improved.