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Prediction of photovoltaic (PV) output via artificial neural network (ANN) based on real climate condition

Crocker, Flora (2017) Prediction of photovoltaic (PV) output via artificial neural network (ANN) based on real climate condition. Masters thesis, Universiti Tun Hussein Onn Malaysia.


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Photovoltaic (PV) system most popular as harvesting energy and has major challenged due to the difficult to control the output. The performance of PV panel output is incompatible due to changing climate condition. It difficult to knowing the power output of PV panel system for multiplicity amount of solar radiation and the ambient environmental factors. Due to solar radiation, data is not always available in remote areas; it would be assisted if the solar radiation from the system could be predicted. This study will explore the potential of artificial neural network (ANN) to be applying in the system of prediction of power output from photovoltaic (PV) panel system. In order to test the efficiency and reliability of a proposed ANN model experimental output compare with proposed mathematical equation. The objectives of this project are to develop the ANN model that capable of predicting power output, obtain power forecast model using ambient factor and identify the influence of climate changing for electrical production. The proposal of this study to predict the solar radiation, voltage, current, and power based on the real climate condition along with PV panel system. The activation functions using for the hidden layer is hyperbolic tangent. The training algorithm is used Levenberg-Marquardt backpropagation. The meteorology data as input data was obtained from RET screen database in the period from 1st January 2015 until 31st August 2016. There was five selected location in Malaysia to be the subject test. From the result, average power output was high level in January to March for all selected location except for Kuching. While in low average solar radiation, the power output was at a low level. This shows that the performance of power output is depending on the level of solar radiation.

Item Type: Thesis (Masters)
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1001-1841 Production of electric energy or power. Powerplants. Central stations
Depositing User: Mr. Mohammad Shaifulrip Ithnin
Date Deposited: 06 Aug 2017 00:40
Last Modified: 06 Aug 2017 00:40
URI: http://eprints.uthm.edu.my/id/eprint/9203
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