Prediction of operating photovoltaic module temperature using hybrid Cuckoo Search algorithm: artificial neural network / Nur Zahidah Zainol

This project presents a hybrid Cuckoo Search-Artificial Neural Network (CSANN) for predicting the module operating temperature of a Grid-Connected Photovoltaic (GCPV) system. In this project, the ANN used ambient temperature (AT) and solar irradiance (SI) as the inputs and module temperature (MT) as...

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Main Author:	Zainol, Nur Zahidah
Format:	Thesis
Language:	English
Published:	2014
Online Access:	https://ir.uitm.edu.my/id/eprint/85281/1/85281.pdf
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id	my-uitm-ir.85281
record_format	uketd_dc
spelling	my-uitm-ir.852812024-02-14T02:47:36Z Prediction of operating photovoltaic module temperature using hybrid Cuckoo Search algorithm: artificial neural network / Nur Zahidah Zainol 2014 Zainol, Nur Zahidah This project presents a hybrid Cuckoo Search-Artificial Neural Network (CSANN) for predicting the module operating temperature of a Grid-Connected Photovoltaic (GCPV) system. In this project, the ANN used ambient temperature (AT) and solar irradiance (SI) as the inputs and module temperature (MT) as the main output. Furthermore, Cuckoo Search (CS) was utilized to determine the optimal number of neurons, learning rate and momentum rate in the hidden layer throughout training process of Cuckoo Search such that Mean Absolute Percentage Error (MAPE) of the prediction was minimized. After the training process, testing was performed to validate the ANN training. The results indicated that the proposed hybrid CS-ANN had outperformed a hybrid Artificial Bee Colony-Artificial Neural Network (ABC-ANN) in producing lower MAPE. In addition, the coefficient of determination was discovered to be very close to unity such that a high prediction performance could be guaranteed. 2014 Thesis https://ir.uitm.edu.my/id/eprint/85281/ https://ir.uitm.edu.my/id/eprint/85281/1/85281.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Sulaiman, Shahril Irwan
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Sulaiman, Shahril Irwan
description	This project presents a hybrid Cuckoo Search-Artificial Neural Network (CSANN) for predicting the module operating temperature of a Grid-Connected Photovoltaic (GCPV) system. In this project, the ANN used ambient temperature (AT) and solar irradiance (SI) as the inputs and module temperature (MT) as the main output. Furthermore, Cuckoo Search (CS) was utilized to determine the optimal number of neurons, learning rate and momentum rate in the hidden layer throughout training process of Cuckoo Search such that Mean Absolute Percentage Error (MAPE) of the prediction was minimized. After the training process, testing was performed to validate the ANN training. The results indicated that the proposed hybrid CS-ANN had outperformed a hybrid Artificial Bee Colony-Artificial Neural Network (ABC-ANN) in producing lower MAPE. In addition, the coefficient of determination was discovered to be very close to unity such that a high prediction performance could be guaranteed.
format	Thesis
qualification_level	Bachelor degree
author	Zainol, Nur Zahidah
spellingShingle	Zainol, Nur Zahidah Prediction of operating photovoltaic module temperature using hybrid Cuckoo Search algorithm: artificial neural network / Nur Zahidah Zainol
author_facet	Zainol, Nur Zahidah
author_sort	Zainol, Nur Zahidah
title	Prediction of operating photovoltaic module temperature using hybrid Cuckoo Search algorithm: artificial neural network / Nur Zahidah Zainol
title_short	Prediction of operating photovoltaic module temperature using hybrid Cuckoo Search algorithm: artificial neural network / Nur Zahidah Zainol
title_full	Prediction of operating photovoltaic module temperature using hybrid Cuckoo Search algorithm: artificial neural network / Nur Zahidah Zainol
title_fullStr	Prediction of operating photovoltaic module temperature using hybrid Cuckoo Search algorithm: artificial neural network / Nur Zahidah Zainol
title_full_unstemmed	Prediction of operating photovoltaic module temperature using hybrid Cuckoo Search algorithm: artificial neural network / Nur Zahidah Zainol
title_sort	prediction of operating photovoltaic module temperature using hybrid cuckoo search algorithm: artificial neural network / nur zahidah zainol
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2014
url	https://ir.uitm.edu.my/id/eprint/85281/1/85281.pdf
_version_	1794192083177701376

Prediction of operating photovoltaic module temperature using hybrid Cuckoo Search algorithm: artificial neural network / Nur Zahidah Zainol

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