Prediction output current and output power of photovoltaic system using artificial neural network: article / Muhamad Azim Mohd Wadzir
This paper presents an application of Artificial Neural Network (ANN) for prediction of output from Photovoltaic (PV) system. The output current and output power is predicted from PV system from Green Energy Research Centre (GERC) in Uitm Shah Alam. DC input current and voltage from two string’s A a...
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| Main Author: | |
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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/97497/1/97497.PDF https://ir.uitm.edu.my/id/eprint/97497/ |
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| Summary: | This paper presents an application of Artificial Neural Network (ANN) for prediction of output from Photovoltaic (PV) system. The output current and output power is predicted from PV system from Green Energy Research Centre (GERC) in Uitm Shah Alam. DC input current and voltage from two string’s A and B is sets as input data in ANN program in order to predict the output current and output power from PV system. The performance of the system is measured by its regression value. The best performance of the system is when regression value is equal to 1. Usually, ANN will run heuristically for its parameter and in this paper ANN program is set to generate automatically random parameter. The purpose of prediction output current and output power from PV system Using ANN is to evaluate the performance of PV system by using historical data from GERC. The res.1ts show that ANN program gives an accurate prediction. |
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