Day-Ahead Photovoltaic Forecasting: A Comparison of the Most Effective Techniques

Day-Ahead Photovoltaic Forecasting: A Comparison of the Most Effective Techniques

We compare the 24-hour ahead forecasting performance of two methods commonly used for the prediction of the power output of photovoltaic systems. Both methods are based on Artificial Neural Networks (ANN), which have been trained on the same dataset, thus enabling a much-needed homogeneous compariso...

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Bibliographic Details
Main Authors: Alfredo Nespoli, Emanuele Ogliari, Sonia Leva, Alessandro Massi Pavan, Adel Mellit, Vanni Lughi, Alberto Dolara
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Energies
Subjects:
neural networks
day-ahead forecasting
PV system
micro-grid
Online Access:https://www.mdpi.com/1996-1073/12/9/1621

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https://www.mdpi.com/1996-1073/12/9/1621

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