Publications "Machine Learning Enhanced Approaches for Forecasting of Energy Prices"

Bergische Universität Wuppertal
Fachbereich Mathematik und Naturwissenschaften
Applied and Computational Mathematics (ACM)

Team Research Publications Teaching

Publications "Machine Learning Enhanced Approaches for Forecasting of Energy Prices"

Summary

Text

References

A. Poggi, L. Di Persio and M. Ehrhardt, Electricity Price Forecasting via Statistical and Deep Learning Approaches: the German case, accepted: AppliedMath, 2023.
E. Viviani, L. Di Persio and M. Ehrhardt, Energy markets forecasting. From Inferential Statistics to Machine Learning: the German case, Energies 2021, 14(2), 364; DOI: 10.3390/en14020364
L. Di Persio, M. Ehrhardt and B. Verzé, Solar Energy Forecasting: from classical statistical approaches to innovative machine learning based models, Preprint 18/19, December 2018.

Talks related to the Project

University of Wuppertal

Faculty of Mathematics and Natural Sciences

Department of Mathematics

Applied Mathematics & Numerical Analysis Group

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