Output prediction of grid-connected photovoltaic system using artificial neural network / Nurul Khairaini Nor Adzman

This project presents an artificial neural network ANN technique for predicting the output from a Grid-Connected Photovoltaic (GCPV) system. In this study, the ANN model utilizes solar irradiance (SI), ambient temperature (AT) and module temperature (MT) as it inputs while the output is the total AC...

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Bibliographic Details
Main Author: Nor Adzman, Nurul Khairaini
Format: Thesis
Language:English
Published: 2013
Online Access:https://ir.uitm.edu.my/id/eprint/84492/1/84492.pdf
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