Work

Bibliographic Exploration of Application of Machine Learning and Artificial Intelligence in Solar Energy

Year: 2024

Type: conference-paper

Study design: Systematic Review

Source: International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG)

DOI: 10.1109/seb4sdg60871.2024.10629967

Authors: Samuel-Soma M. Ajibade, Faizah Mohammed Bashir, Yakubu Aminu Dodo, Oluwadare Joshua Oyebode, Rex V. Culpable, Limic M. De La Calzada, Anthonia Oluwatosin Adediran, Temiloluwa Iyanuoluwa Ajibade

Institutions: Sunway University, University of Ha'il, Najran University, Afe Babalola University, Cebu Technological University, Universidade Federal de Uberlândia, University of Birmingham

Language: English

Topic: Solar Radiation and Photovoltaics

Subfield: Renewable Energy, Sustainability and the Environment

Field: Energy

Domain: Physical Sciences

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

Open Access status: closed

OpenAlex ID: W4401608317

FWCI: 7.042

Cites: 30

Cited by: 8

Related to: 10