Simulation Study on the Effect of Reduced Inputs of Artificial Neural Networks on the Predictive Performance of the Solar Energy System

Simulation Study on the Effect of Reduced Inputs of Artificial Neural Networks on the Predictive Performance of the Solar Energy System

In recent years, there has been a strong growth in solar power generation industries. The need for highly efficient and optimised solar thermal energy systems, stand-alone or grid connected photovoltaic systems, has substantially increased. This requires the development of efficient and reliable per...

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Bibliographic Details
Main Authors: Wahiba Yaïci, Michela Longo, Evgueniy Entchev, Federica Foiadelli
Format: Article
Language:English
Published: MDPI AG 2017-08-01
Series:Sustainability
Subjects:
artificial neural networks
solar energy system
performance
modelling
prediction
Online Access:https://www.mdpi.com/2071-1050/9/8/1382

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