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Hochschule Landshut Sitepackage
Forschung
Institute for Data and Process Science

A Computationally Efficient End-to-End Learning Approach for Smart Energy Storage Systems

Autoren

Ulrich Ludolfinger
Ulrich.Ludolfinger@haw-landshut.de
Prof. Dr. Maren Martens
Maren.Martens@haw-landshut.de
Thomas Engel

Medien

2025 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE). Conference Proceedings. To appear

Veröffentlichungsjahr

2025

Veröffentlichungsart

Konferenzbeitrag (peer reviewed)

Forschungsprojekt

ReLLFloW

Zitierung

Ludolfinger, Ulrich; Hamacher, Thomas; Martens, Maren (2025): A Computationally Efficient End-to-End Learning Approach for Smart Energy Storage Systems. 2025 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE). Conference Proceedings. To appear.

Peer Reviewed

Ja

Institute for Data and Process Science

A Computationally Efficient End-to-End Learning Approach for Smart Energy Storage Systems