Artificial intelligence in sustainable energy industry: Status Quo, challenges and opportunities

• Published in: Journal of cleaner production Vol. 289; p. 125834
• Main Authors: Ahmad, Tanveer, Zhang, Dongdong, Huang, Chao, Zhang, Hongcai, Dai, Ningyi, Song, Yonghua, Chen, Huanxin
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 20.03.2021
• Subjects: Artificial intelligence; Big data; business planning; computer software; consumers (people); data analysis; Decision making; electrical equipment; Energy demand; Energy digitization; energy efficiency; energy industry; environment; hydrogen; information; information technology; markets; methodology; power generation; Renewable energy; renewable energy sources; researchers; robots; supply; utilities; Energy demand; Big data; Energy digitization; Renewable energy; Decision making; Artificial intelligence

The energy industry is at a crossroads. Digital technological developments have the potential to change our energy supply, trade, and consumption dramatically. The new digitalization model is powered by the artificial intelligence (AI) technology. The integration of energy supply, demand, and renewa...