Optimization of Neurons Number in Artificial Neural Network Model for Predicting the Power Production of PV Module

Optimization of Neurons Number in Artificial Neural Network Model for Predicting the Power Production of PV Module

In this work, an Artificial Neural Network (ANN) with a backward-propagation technique was used to predict the power generation of the Photovoltaic (PV) module in weather conditions of Baghdad city-Iraq. Experiment tests were investigated in the summer of 2022. Three weather parameters, including:...

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Bibliographic Details
Main Authors: Hussain Hamdi Khalaf, Ali Nasser Hussain, Zuhair S. Al-Sagar, Abdulrahman Th. Mohammad, Hilal A. Fadhil
Format: Article
Language:English
Published: middle technical university 2024-03-01
Series:Journal of Techniques
Subjects:
ANN
PV Module
Power Generation
Single Hidden Layer
Neurons
Online Access:https://journal.mtu.edu.iq/index.php/MTU/article/view/895
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