Solar irradiance forecasting model using Artificial Neural Network (ANN): article
This paper presents the Artificial Neural Network (ANN) model for predicting solar irradiance. The inputs of the ANN are the solar irradiance values for previous five one-minute intervals while the output of the ANN is the solar irradiance of the sixth-minute interval. The solar irradiance data were...
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| Main Authors: | , |
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| Format: | Article |
| Language: | en |
| Published: |
2014
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| Subjects: | |
| Online Access: | https://ir.uitm.edu.my/id/eprint/126800/1/126800.pdf https://ir.uitm.edu.my/id/eprint/126800/ |
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| Summary: | This paper presents the Artificial Neural Network (ANN) model for predicting solar irradiance. The inputs of the ANN are the solar irradiance values for previous five one-minute intervals while the output of the ANN is the solar irradiance of the sixth-minute interval. The solar irradiance data were obtained from a weather monitoring station at Green Energy Research Centre (GERC) at Universiti Teknologi MARA, Malaysia. During testing, the ANN produced a low mean absolute percentage error (MAPE) of 10.5796% and high coefficient of determination, R2 of 0.8925. |
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