Assessment of Artificial Neural Networks Learning Algorithms and Training Datasets for Solar Photovoltaic Power Production Prediction

Assessment of Artificial Neural Networks Learning Algorithms and Training Datasets for Solar Photovoltaic Power Production Prediction

The capability of accurately predicting the Solar Photovoltaic (PV) power productions is crucial to effectively control and manage the electrical grid. In this regard, the objective of this work is to propose an efficient Artificial Neural Network (ANN) model in which 10 different learning algorithm...

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Bibliographic Details
Main Authors: Sameer Al-Dahidi, Osama Ayadi, Jehad Adeeb, Mohamed Louzazni
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-11-01
Series:Frontiers in Energy Research
Subjects:
solar photovoltaic
power prediction
Artificial Neural Networks
learning algorithms
training datasets
persistence
Online Access:https://www.frontiersin.org/article/10.3389/fenrg.2019.00130/full

Internet

https://www.frontiersin.org/article/10.3389/fenrg.2019.00130/full

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