Wakiman, Nur Farhanah (2012) Modeling of photovoltaic (PV) module temperature based on ambient factor in Malaysia using ANFIS. Masters thesis, Universiti Tun Hussein Malaysia.
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Abstract
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.
| Item Type: | Thesis (Masters) |
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| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1001-1841 Production of electric energy or power. Powerplants. Central stations |
| Divisions: | Faculty of Electrical and Electronic Engineering > Department of Electrical Engineering |
| Depositing User: | Mrs. Sabarina Che Mat |
| Date Deposited: | 31 Oct 2021 07:00 |
| Last Modified: | 31 Oct 2021 07:00 |
| URI: | http://eprints.uthm.edu.my/id/eprint/2347 |
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