Wind Energy Production in Italy: A Forecasting Approach Based on Fractional Brownian Motion and Generative Adversarial Networks

This paper focuses on developing a predictive model for wind energy production in Italy, aligning with the ambitious goals of the European Green Deal. In particular, by utilising real data from the <i>SUD</i> (South) Italian electricity zone over seven years, the model employs stochastic...

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Bibliographic Details

Published in:	Mathematics
Main Authors:	Luca Di Persio, Nicola Fraccarolo, Andrea Veronese
Format:	Article
Language:	English
Published:	MDPI AG 2024-07-01
Subjects:	energy forecasting generative adversarial networks machine learning renewable energies stochastic differential equations
Online Access:	https://www.mdpi.com/2227-7390/12/13/2105