Work

Artificial Intelligence Methods for Clean Energy and Environmental Engineering Systems: A Cross-Sectoral Computational Review

Year: 2026

Type: article

Source: Archives of Computational Methods in Engineering

DOI: 10.1007/s11831-026-10559-x

Authors: Chukwuebuka Joseph Ejiyi, Danny Love Wamba Djukem, Chidinma N. Diokpo, Francis O. Eze, Gladys W. Muoka, Francis Sam, Qingxian Zhang, Dongsheng Cai, Abena A. Atwereboannah, Joel Victor Dossa, Olusola O. Bamisile

Institutions: University of Electronic Science and Technology of China, Chengdu University of Technology, University of Liège, Nanchang University, Sichuan University

Language: English

Topic: Artificial Intelligence Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDGs: Climate action, Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W7140664194

FWCI: 3.736

Cites: 288

Cited by: 1

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