Identifying the most significant input parameters for predicting global solar radiation using an ANFIS selection procedure

There are several variables that influence the global solar radiation (GSR) prediction; thus, determining the most significant parameters is an important task to achieve accurate predictions. In this paper, adaptive neuro-fuzzy inference system (ANFIS) is employed to identify the most relevant param...

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Bibliographic Details
Published in:Renewable & sustainable energy reviews 2016-09, Vol.63, p.423-434
Main Authors: Mohammadi, Kasra, Shamshirband, Shahaboddin, Kamsin, Amirrudin, Lai, P.C., Mansor, Zulkefli
Format: Article
Language:English
Subjects:
Adaptive systems
ANFIS
Artificial neural networks
Daily global solar radiation
Economics
Fuzzy logic
Prediction
Relative humidity
Solar energy systems
Solar radiation
Sunlight
Variable selection
Water vapor
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