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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Online Access: | 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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my-uthm-ep.23472021-10-31T07:00:13Z Modeling of photovoltaic (PV) module temperature based on ambient factor in Malaysia using ANFIS 2012-07 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 http://eprints.uthm.edu.my/2347/ http://eprints.uthm.edu.my/2347/1/24p%20NUR%20FARHANAH%20WAKIMAN.pdf text en public http://eprints.uthm.edu.my/2347/2/NUR%20FARHANAH%20WAKIMAN%20COPYRIGHT%20DECLARATION.pdf text en staffonly http://eprints.uthm.edu.my/2347/3/NUR%20FARHANAH%20WAKIMAN%20WATERMARK.pdf text en validuser mphil masters Universiti Tun Hussein Malaysia Fakulti Kejuruteraan Elektrik dan Elektronik |
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Universiti Tun Hussein Onn Malaysia |
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TK Electrical engineering Electronics Nuclear engineering TK Electrical engineering Electronics Nuclear engineering |
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TK Electrical engineering Electronics Nuclear engineering TK Electrical engineering Electronics Nuclear engineering Wakiman, Nur Farhanah Modeling of photovoltaic (PV) module temperature based on ambient factor in Malaysia using ANFIS |
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. |
format |
Thesis |
qualification_name |
Master of Philosophy (M.Phil.) |
qualification_level |
Master's degree |
author |
Wakiman, Nur Farhanah |
author_facet |
Wakiman, Nur Farhanah |
author_sort |
Wakiman, Nur Farhanah |
title |
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_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_sort |
modeling of photovoltaic (pv) module temperature based on ambient factor in malaysia using anfis |
granting_institution |
Universiti Tun Hussein Malaysia |
granting_department |
Fakulti Kejuruteraan Elektrik dan Elektronik |
publishDate |
2012 |
url |
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 |
_version_ |
1747830943404523520 |