Estimation of Solar Radiation using Artificial Neural Network
Keyword(s):
The solar radiation is the most important fator affeccting evapotranspiration, the mechanism of transporting the vapor from the water surface has also a great effect. The main objectives of this study were to investigate the potential of using Artificial Neural Network (ANN) to predict solar radiation related to temperature. The three-layer backpropagation were developed, trained, and tested to forecast solar radiation for Ciriung sub Cachment. Result revealed that the ANN were able to well learn the events they were trained to recognize. Moreover, they were capable of effecctively generalize their training by predicting solar radiation for sets unseen cases.
2018 ◽
Vol 10
(1)
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pp. 013704
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2021 ◽
Vol 2129
(1)
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pp. 012079
2021 ◽
Vol 11
(4)
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pp. 3559
Application of the Artificial Neural Network (ANN) Method as MPPT Photovoltaic for DC Source Storage
2019 ◽
Vol 12
(3)
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pp. 145
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2020 ◽
Vol 9
(1.4)
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pp. 658-663