Investigating the performance of support vector machine and artificial neural networks in predicting solar radiation on a tilted surface: Saudi Arabia case study-Reference-Cited by-同舟云学术

Investigating the performance of support vector machine and artificial neural networks in predicting solar radiation on a tilted surface: Saudi Arabia case study

Published:2015-11 Issue: Volume:105 Page:442-452
ISSN:0196-8904
Container-title:Energy Conversion and Management
language:en
Short-container-title:Energy Conversion and Management

Author:

Ramli Makbul A.M.,Twaha Ssennoga,Al-Turki Yusuf A.

Funder

Deanship of Scientific Research

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Reference64 articles.

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3. Global, direct and diffuse solar radiation on horizontal and tilted surfaces in Jeddah, Saudi Arabia;El-Sebaii;Appl Energy,2010

4. The assessment of different models to predict the global solar radiation on a surface tilted to the south;Evseev;Sol Energy,2009

5. Estimating daily global solar radiation by day of year in China;Li;Appl Energy,2010

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