Modeling of photovoltaic (PV) module temperature based on ambient factor in Malaysia using ANFIS

This paper introduces a model build using Adaptive Neuro-Fuzzy Inference System (ANFIS) for evaluation of temperature for PV modules. The input of this model were taken from meteorological data which are ambient temperature,Ta, solar irradiation,GT, wind speed,Vw and humidity,RH. These parameters...

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Main Author: Wakiman, Nur Farhanah
Format: Thesis
Language:English
English
English
Published: 2012
Subjects:
Online Access:http://eprints.uthm.edu.my/2347/
http://eprints.uthm.edu.my/2347/1/24p%20NUR%20FARHANAH%20WAKIMAN.pdf
http://eprints.uthm.edu.my/2347/2/NUR%20FARHANAH%20WAKIMAN%20COPYRIGHT%20DECLARATION.pdf
http://eprints.uthm.edu.my/2347/3/NUR%20FARHANAH%20WAKIMAN%20WATERMARK.pdf
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author Wakiman, Nur Farhanah
author_facet Wakiman, Nur Farhanah
author_sort Wakiman, Nur Farhanah
building UTHM Institutional Repository
collection Online Access
description This paper introduces a model build using Adaptive Neuro-Fuzzy Inference System (ANFIS) for evaluation of temperature for PV modules. The input of this model were taken from meteorological data which are ambient temperature,Ta, solar irradiation,GT, wind speed,Vw and humidity,RH. These parameters were evaluated from outdoor exposure data measured at Malaysia Green Technology Corporation (MGTC), Bandar Baru Bangi, Malaysia. The model was validated based on low training error and accepted validation error. Keywords— PV Module Operating Temperature, Meteorological data, ANFIS.
first_indexed 2025-11-15T19:58:47Z
format Thesis
id uthm-2347
institution Universiti Tun Hussein Onn Malaysia
institution_category Local University
language English
English
English
last_indexed 2025-11-15T19:58:47Z
publishDate 2012
recordtype eprints
repository_type Digital Repository
spelling uthm-23472021-10-31T07:00:13Z http://eprints.uthm.edu.my/2347/ Modeling of photovoltaic (PV) module temperature based on ambient factor in Malaysia using ANFIS Wakiman, Nur Farhanah TK Electrical engineering. Electronics Nuclear engineering TK1001-1841 Production of electric energy or power. Powerplants. Central stations This paper introduces a model build using Adaptive Neuro-Fuzzy Inference System (ANFIS) for evaluation of temperature for PV modules. The input of this model were taken from meteorological data which are ambient temperature,Ta, solar irradiation,GT, wind speed,Vw and humidity,RH. These parameters were evaluated from outdoor exposure data measured at Malaysia Green Technology Corporation (MGTC), Bandar Baru Bangi, Malaysia. The model was validated based on low training error and accepted validation error. Keywords— PV Module Operating Temperature, Meteorological data, ANFIS. 2012-07 Thesis NonPeerReviewed text en http://eprints.uthm.edu.my/2347/1/24p%20NUR%20FARHANAH%20WAKIMAN.pdf text en http://eprints.uthm.edu.my/2347/2/NUR%20FARHANAH%20WAKIMAN%20COPYRIGHT%20DECLARATION.pdf text en http://eprints.uthm.edu.my/2347/3/NUR%20FARHANAH%20WAKIMAN%20WATERMARK.pdf Wakiman, Nur Farhanah (2012) Modeling of photovoltaic (PV) module temperature based on ambient factor in Malaysia using ANFIS. Masters thesis, Universiti Tun Hussein Malaysia.
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
TK1001-1841 Production of electric energy or power. Powerplants. Central stations
Wakiman, Nur Farhanah
Modeling of photovoltaic (PV) module temperature based on ambient factor in Malaysia using ANFIS
title Modeling of photovoltaic (PV) module temperature based on ambient factor in Malaysia using ANFIS
title_full Modeling of photovoltaic (PV) module temperature based on ambient factor in Malaysia using ANFIS
title_fullStr Modeling of photovoltaic (PV) module temperature based on ambient factor in Malaysia using ANFIS
title_full_unstemmed Modeling of photovoltaic (PV) module temperature based on ambient factor in Malaysia using ANFIS
title_short Modeling of photovoltaic (PV) module temperature based on ambient factor in Malaysia using ANFIS
title_sort modeling of photovoltaic (pv) module temperature based on ambient factor in malaysia using anfis
topic TK Electrical engineering. Electronics Nuclear engineering
TK1001-1841 Production of electric energy or power. Powerplants. Central stations
url http://eprints.uthm.edu.my/2347/
http://eprints.uthm.edu.my/2347/1/24p%20NUR%20FARHANAH%20WAKIMAN.pdf
http://eprints.uthm.edu.my/2347/2/NUR%20FARHANAH%20WAKIMAN%20COPYRIGHT%20DECLARATION.pdf
http://eprints.uthm.edu.my/2347/3/NUR%20FARHANAH%20WAKIMAN%20WATERMARK.pdf