Radial Basis Function Network-based prediction of global solar radiation data: Application for sizing of a stand-alone photovoltaic system at Al-Madinah, Saudi Arabia
Abstract
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This publication has 22 references indexed in Scilit:
- Artificial intelligence techniques for photovoltaic applications: A reviewProgress in Energy and Combustion Science, 2008
- A simplified model for generating sequences of global solar radiation data for isolated sites: Using artificial neural network and a library of Markov transition matrices approachSolar Energy, 2005
- An application of the multilayer perceptron: Solar radiation maps in SpainSolar Energy, 2005
- Artificial intelligence techniques applied to hourly global irradiance estimation from satellite-derived cloud indexEnergy, 2005
- Comparative study of Ångström’s and artificial neural networks’ methodologies in estimating global solar radiationSolar Energy, 2005
- Estimation of solar potential in Turkey by artificial neural networks using meteorological and geographical dataEnergy Conversion and Management, 2004
- Solar resource estimation using artificial neural networks and comparison with other correlation modelsEnergy Conversion and Management, 2003
- Solar radiation estimation using artificial neural networksApplied Energy, 2002
- Use of radial basis functions for estimating monthly mean daily solar radiationSolar Energy, 2000
- An ANN-based approach for predicting global radiation in locations with no direct measurement instrumentationRenewable Energy, 1998