Extreme Learning Machines for Solar Photovoltaic Power Predictions

Extreme Learning Machines for Solar Photovoltaic Power Predictions

The unpredictability of intermittent renewable energy (RE) sources (solar and wind) constitutes reliability challenges for utilities whose goal is to match electricity supply to consumer demands across centralized grid networks. Thus, balancing the variable and increasing power inputs from plants wi...

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Bibliographic Details
Main Authors: Sameer Al-Dahidi, Osama Ayadi, Jehad Adeeb, Mohammad Alrbai, Bashar R. Qawasmeh
Format: Article
Language:English
Published: MDPI AG 2018-10-01
Series:Energies
Subjects:
solar photovoltaic system
global solar radiations
ambient temperatures
prediction
Extreme Learning Machines
Back Propagation
Artificial Neural Networks
Online Access:http://www.mdpi.com/1996-1073/11/10/2725

Internet

http://www.mdpi.com/1996-1073/11/10/2725

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