The intelligent forecasting of the performances in PV/T collectors based on soft computing method

Full text for this resource is not available from the Research Repository.

Mojumder, Jewel Chandra, Ong, Hwai Chyuan, Chong, Wen Tong, Izadyar, Nima ORCID: 0000-0002-2487-5915 and Shamshirband, Shahaboddin (2017) The intelligent forecasting of the performances in PV/T collectors based on soft computing method. Renewable and Sustainable Energy Reviews, 72. pp. 1366-1378. ISSN 1364-0321

Dimensions Badge

Altmetric Badge

Item type Article
URI https://vuir.vu.edu.au/id/eprint/42628
DOI https://doi.org/10.1016/j.rser.2016.11.225
Official URL https://www.sciencedirect.com/science/article/pii/...
Subjects Current > FOR (2020) Classification > 3302 Building
Current > Division/Research > College of Science and Engineering
Keywords solar energy, Photovoltaic-thermal, Extreme Learning Machine, Genetic Programming, Artificial Neural Networks, architecture
Citations in Scopus 26 - View on Scopus
Download/View statistics View download statistics for this item

Search Google Scholar

Repository staff login