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Institute for Data and Process Science

A comprehensive evaluation of prediction techniques and their influence on model predictive control in smart energy storage systems

Autoren

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

Medien

Smart Energy

Veröffentlichungsjahr

2025

Band

2025

Veröffentlichungsart

Beiträge in Monografien, Sammelwerken und Schriftenreihen

Forschungsprojekt

ReLLFloW

DOI

https://doi.org/10.1016/j.segy.2025.100202

Zitierung

Ludolfinger, Ulrich; Hamacher, Thomas; Martens, Maren (2025): A comprehensive evaluation of prediction techniques and their influence on model predictive control in smart energy storage systems. Smart Energy 2025. DOI: 10.1016/j.segy.2025.100202

Institute for Data and Process Science

A comprehensive evaluation of prediction techniques and their influence on model predictive control in smart energy storage systems