Experimental review and recent advances in deep learning techniques for solar irradiance forecasting and prediction
Year: 2025
Type: article
Language: en
Topic: Solar Radiation and Photovoltaics
Authors and affiliations:
raw_author_name: Chinedu I. Otuka
raw_affiliation_strings: Business Administration Department, Nnamdi Azikiwe University, Awka, Anambra State, Nigeria
College of Nuclear Technology and Automation Engineering, Chengdu University of Technology, Sichuan P.R. 610059, China
Sichuan Engineering Technology Research Centre for Industrial Internet Intelligent Monitoring and Application, Chengdu University of Technology, Sichuan P.R. 610059, China
raw_author_name: Dongsheng Cai
raw_affiliation_strings: College of Nuclear Technology and Automation Engineering, Chengdu University of Technology, Sichuan P.R. 610059, China
Sichuan Engineering Technology Research Centre for Industrial Internet Intelligent Monitoring and Application, Chengdu University of Technology, Sichuan P.R. 610059, China
raw_author_name: Chiagoziem C. Ukwuoma
raw_affiliation_strings: College of Nuclear Technology and Automation Engineering, Chengdu University of Technology, Sichuan P.R. 610059, China
School of International Education, Oxford Brookes College, Chengdu University of Technology, Sichuan P.R. 610059, China
Sichuan Engineering Technology Research Centre for Industrial Internet Intelligent Monitoring and Application, Chengdu University of Technology, Sichuan P.R. 610059, China
raw_author_name: Shuang Luo
raw_affiliation_strings: Department of Renewable Energy, China National Chemical Southwest Engineering Technology Co., LTD, Sichuan P.R. 610059, China
raw_author_name: Zhihui Yang
raw_affiliation_strings: Department of Renewable Energy, China National Chemical Southwest Engineering Technology Co., LTD, Sichuan P.R. 610059, China
raw_author_name: Olusola Bamisile
raw_affiliation_strings: College of Nuclear Technology and Automation Engineering, Chengdu University of Technology, Sichuan P.R. 610059, China
Energy and Environment Science Division, CEPMLP, University of Dundee, Scotland, United Kingdom
Sichuan Engineering Technology Research Centre for Industrial Internet Intelligent Monitoring and Application, Chengdu University of Technology, Sichuan P.R. 610059, China
raw_author_name: Chibueze D. Ukwuoma
raw_affiliation_strings: College of Nuclear Technology and Automation Engineering, Chengdu University of Technology, Sichuan P.R. 610059, China
School of International Education, Oxford Brookes College, Chengdu University of Technology, Sichuan P.R. 610059, China
Sichuan Engineering Technology Research Centre for Industrial Internet Intelligent Monitoring and Application, Chengdu University of Technology, Sichuan P.R. 610059, China
raw_author_name: Chizoba U. Otuka
raw_affiliation_strings: Business Administration Department, Nnamdi Azikiwe University, Awka, Anambra State, Nigeria
College of Nuclear Technology and Automation Engineering, Chengdu University of Technology, Sichuan P.R. 610059, China
Sichuan Engineering Technology Research Centre for Industrial Internet Intelligent Monitoring and Application, Chengdu University of Technology, Sichuan P.R. 610059, China
raw_author_name: Nkiruka O. Otuka
raw_affiliation_strings: Cooperative Management Department, National Open University, Abagana, Anambra State, Nigeria
raw_author_name: Qi Huang
raw_affiliation_strings: College of Nuclear Technology and Automation Engineering, Chengdu University of Technology, Sichuan P.R. 610059, China
Sichuan Engineering Technology Research Centre for Industrial Internet Intelligent Monitoring and Application, Chengdu University of Technology, Sichuan P.R. 610059, China