Predicting the energy production by solar photovoltaic systems in cold-climate regions-Reference-Cited by-同舟云学术

Predicting the energy production by solar photovoltaic systems in cold-climate regions

Published:2017-12-04 Issue:10 Volume:37 Page:978-998
ISSN:1478-6451
Container-title:International Journal of Sustainable Energy
language:en
Short-container-title:International Journal of Sustainable Energy

Author:

Awad Hadia¹^ORCID,Gül Mustafa¹,Salim K. M. Emtiaz¹,Yu Haitao²

Affiliation:

1. Department of Civil and Environmental Engineering, University of Alberta, Edmonton, Canada

2. Landmark Group of Companies, Edmonton, Canada

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Informa UK Limited

Subject

Fluid Flow and Transfer Processes,Process Chemistry and Technology,General Energy,Fuel Technology,Renewable Energy, Sustainability and the Environment

Link

https://www.tandfonline.com/doi/pdf/10.1080/14786451.2017.1408622

Reference45 articles.

1. Application of radial basis function networks for solar-array modelling and maximum power-point prediction

2. Most Influential Variables for Solar Radiation Forecasting Using Artificial Neural Networks

3. Calculation of the energy provided by a PV generator. Comparative study: Conventional methods vs. artificial neural networks

4. Prediction of energy effects on photovoltaic systems due to snowfall events

5. The effects of snowfall on solar photovoltaic performance

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