The intelligent forecasting of the performances in PV/T collectors based on soft computing method-Reference-Cited by-同舟云学术

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

Published:2017-05 Issue: Volume:72 Page:1366-1378
ISSN:1364-0321
Container-title:Renewable and Sustainable Energy Reviews
language:en
Short-container-title:Renewable and Sustainable Energy Reviews

Author:

Mojumder Juwel Chandra,Ong Hwai Chyuan,Chong Wen Tong,Izadyar Nima,Shamshirband Shahaboddin

Funder

Ministry of Higher Education of Malaysia

The University of Malaya, Kuala Lumpur, Malaysia

Publisher

Elsevier BV

Subject

Renewable Energy, Sustainability and the Environment

Reference83 articles.

1. Solar energy for future world: - A review;Kannan;Renewable and Sustainable Energy Reviews,2016

2. Recent advances in solar photovoltaic systems for emerging trends and advanced applications;Pandey;Renewable and Sustainable Energy Reviews,2016

3. Exergetic performance assessment of a solar photovoltaic thermal (PV/T) air collector;Sarhaddi;Energy and Buildings,2010

4. Historical and recent development of photovoltaic thermal (PVT) technologies;Kumar;Renewable and Sustainable Energy Reviews,2015

5. A review on photovoltaic/thermal hybrid solar technology;Chow;Applied Energy,2010

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3. Machine Learning Approaches for Short-Term Photovoltaic Power Forecasting;Energies;2024-08-28

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