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A hybrid PSO-ANFIS approach for horizontal solar radiation prediction in Nigeria

For efficient and reliable hydrogen production via solar photovoltaic system, it is important to obtain accurate solar radiation data. Though there are equipment specifically designed for solar radiation prediction but are very expensive and have high maintenance cost that most countries like Nigeri...

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Main Authors: Salisu, Sani, Mustafa, Mohd. Wazir, Mustapha, Mamunu, Otuoze, Abdulrahman Okino, Mohammed, Olatunji Obalowu
Format: Article
Language:English
Published: Penerbit UTM Press 2019
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utm.my/id/eprint/85264/1/MohdWazirMustafa2019_AHybridPSO-ANFISApproach.pdf
http://eprints.utm.my/id/eprint/85264/
https://dx.doi.org/10.11113/elektrika.v18n2.153
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spelling my.utm.852642020-03-17T08:10:34Z http://eprints.utm.my/id/eprint/85264/ A hybrid PSO-ANFIS approach for horizontal solar radiation prediction in Nigeria Salisu, Sani Mustafa, Mohd. Wazir Mustapha, Mamunu Otuoze, Abdulrahman Okino Mohammed, Olatunji Obalowu TK Electrical engineering. Electronics Nuclear engineering For efficient and reliable hydrogen production via solar photovoltaic system, it is important to obtain accurate solar radiation data. Though there are equipment specifically designed for solar radiation prediction but are very expensive and have high maintenance cost that most countries like Nigeria are unable to purchase. In this study, the accuracy of a hybrid PSO-ANFIS method is examined to predict horizontal solar radiation in Nigeria. The prediction is done based on the available meteorological data obtained from NIMET Nigeria. The meteorological data used for this study are monthly mean minimum temperature, maximum temperature, relative humidity and sunshine hours, which serves as inputs to the developed model. The model accuracy is evaluated using two statistical indicators Root Mean Square Error (RMSE) and Coefficient of determination (R²). The accuracy of the proposed model is validated using ANFIS, GA-ANFIS models and other literatures. Based on the statistical parameters used for the model evaluation, the results obtained proves PSO-ANFIS as a good model for predicting solar radiation with the values of RMSE=0.68318, R²=0.9065 at the training stage and RMSE=1.3838, R²=0.8058 at the testing stage. This proves the potentiality of PSO-ANFIS technique for accurate solar radiation prediction. Penerbit UTM Press 2019 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/85264/1/MohdWazirMustafa2019_AHybridPSO-ANFISApproach.pdf Salisu, Sani and Mustafa, Mohd. Wazir and Mustapha, Mamunu and Otuoze, Abdulrahman Okino and Mohammed, Olatunji Obalowu (2019) A hybrid PSO-ANFIS approach for horizontal solar radiation prediction in Nigeria. Journal of Electrical Engineering, 18 (2). pp. 23-32. ISSN 0128-4428 https://dx.doi.org/10.11113/elektrika.v18n2.153 DOI:10.11113/elektrika.v18n2.153
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Salisu, Sani
Mustafa, Mohd. Wazir
Mustapha, Mamunu
Otuoze, Abdulrahman Okino
Mohammed, Olatunji Obalowu
A hybrid PSO-ANFIS approach for horizontal solar radiation prediction in Nigeria
description For efficient and reliable hydrogen production via solar photovoltaic system, it is important to obtain accurate solar radiation data. Though there are equipment specifically designed for solar radiation prediction but are very expensive and have high maintenance cost that most countries like Nigeria are unable to purchase. In this study, the accuracy of a hybrid PSO-ANFIS method is examined to predict horizontal solar radiation in Nigeria. The prediction is done based on the available meteorological data obtained from NIMET Nigeria. The meteorological data used for this study are monthly mean minimum temperature, maximum temperature, relative humidity and sunshine hours, which serves as inputs to the developed model. The model accuracy is evaluated using two statistical indicators Root Mean Square Error (RMSE) and Coefficient of determination (R²). The accuracy of the proposed model is validated using ANFIS, GA-ANFIS models and other literatures. Based on the statistical parameters used for the model evaluation, the results obtained proves PSO-ANFIS as a good model for predicting solar radiation with the values of RMSE=0.68318, R²=0.9065 at the training stage and RMSE=1.3838, R²=0.8058 at the testing stage. This proves the potentiality of PSO-ANFIS technique for accurate solar radiation prediction.
format Article
author Salisu, Sani
Mustafa, Mohd. Wazir
Mustapha, Mamunu
Otuoze, Abdulrahman Okino
Mohammed, Olatunji Obalowu
author_facet Salisu, Sani
Mustafa, Mohd. Wazir
Mustapha, Mamunu
Otuoze, Abdulrahman Okino
Mohammed, Olatunji Obalowu
author_sort Salisu, Sani
title A hybrid PSO-ANFIS approach for horizontal solar radiation prediction in Nigeria
title_short A hybrid PSO-ANFIS approach for horizontal solar radiation prediction in Nigeria
title_full A hybrid PSO-ANFIS approach for horizontal solar radiation prediction in Nigeria
title_fullStr A hybrid PSO-ANFIS approach for horizontal solar radiation prediction in Nigeria
title_full_unstemmed A hybrid PSO-ANFIS approach for horizontal solar radiation prediction in Nigeria
title_sort hybrid pso-anfis approach for horizontal solar radiation prediction in nigeria
publisher Penerbit UTM Press
publishDate 2019
url http://eprints.utm.my/id/eprint/85264/1/MohdWazirMustafa2019_AHybridPSO-ANFISApproach.pdf
http://eprints.utm.my/id/eprint/85264/
https://dx.doi.org/10.11113/elektrika.v18n2.153
_version_ 1662754374929088512
score 13.211869

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