Energy Markets Forecasting. From Inferential Statistics to Machine Learning: The German Case

In this work, we investigate a probabilistic method for electricity price forecasting, which overcomes traditional ones. We start considering statistical methods for point forecast, comparing their performance in terms of efficiency, accuracy, and reliability, and we then exploit Neural Networks app...

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Bibliographic Details
Main Authors: Emma Viviani, Luca Di Persio, Matthias Ehrhardt
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/14/2/364