Comparison of empirical models to estimate monthly mean diffuse solar radiation from measured data: Case study for humid-subtropical climatic region of India-Reference-Cited by-同舟云学术

Comparison of empirical models to estimate monthly mean diffuse solar radiation from measured data: Case study for humid-subtropical climatic region of India

Published:2017-09 Issue: Volume:77 Page:1326-1342
ISSN:1364-0321
Container-title:Renewable and Sustainable Energy Reviews
language:en
Short-container-title:Renewable and Sustainable Energy Reviews

Author:

Jamil Basharat,Akhtar Naiem

Publisher

Elsevier BV

Subject

Renewable Energy, Sustainability and the Environment

Reference133 articles.

1. Potential of adaptive neuro-fuzzy system for prediction of daily global solar radiation by day of the year;Mohammadi;Energy Convers Manag,2015

2. Forecasting hourly global solar radiation using hybrid k-means and nonlinear auto regressive neural network models;Benmouiza;Energy Convers Manag,2013

3. Prediction of global solar radiation and comparison with satellite data;Bakirci;J Atmospheric Solar-Terrestrial Phys,2017

4. Techniques to obtain improved predictions of global radiation from sunshine duration;Hussain;Renew Energy,1999

5. Modelling solar potential in the urban environment: State-of-the-art review;Freitas;Renew Sustain Energy Rev,2015

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