Output prediction of grid-connected photovoltaic system using artificial neural network: article / Nurul Khairaini Nor Adzman
This paper presents an artificial neural network ANN technique for predicting the output from a Grid-Connected Photovoltaic (GCPV) system. In this study, the ANN model utilizes solar irradiance (SI), ambient temperature (AT) and module temperature (MT) as it inputs while the output is the total AC p...
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| Format: | Article |
| Language: | English |
| Published: |
Universiti Teknologi MARA (UiTM)
2013
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| Online Access: | https://ir.uitm.edu.my/id/eprint/97478/1/97478.PDF https://ir.uitm.edu.my/id/eprint/97478/ |
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