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November 14, 2021 article Aachen paper

Exploratory comparison of control algorithms and machine learning as regulators for a personalized climatization system

Energy and Buildings, vol. 255, pp. 111653

DOI: 10.1016/j.enbuild.2021.111653 OpenAlex

Authors 4

  1. Henning Metzmacher Aachen E3D - Institute of Energy Efficiency and Sustainable Building

    RWTH Aachen University

    Affiliation as printed

    E3D – Institute of Energy Efficiency and Sustainable Building, RWTH Aachen University, Mathieustraße 30, 52074 Aachen, Germany

  2. Marc Syndicus corresponding Aachen E3D - Institute of Energy Efficiency and Sustainable Building

    RWTH Aachen University

    Affiliation as printed

    E3D – Institute of Energy Efficiency and Sustainable Building, RWTH Aachen University, Mathieustraße 30, 52074 Aachen, Germany

  3. Alexander Warthmann Aachen E3D - Institute of Energy Efficiency and Sustainable Building

    RWTH Aachen University

    Affiliation as printed

    E3D – Institute of Energy Efficiency and Sustainable Building, RWTH Aachen University, Mathieustraße 30, 52074 Aachen, Germany

  4. Christoph van Treeck Aachen E3D - Institute of Energy Efficiency and Sustainable Building

    RWTH Aachen University

    Affiliation as printed

    E3D – Institute of Energy Efficiency and Sustainable Building, RWTH Aachen University, Mathieustraße 30, 52074 Aachen, Germany

Cited by 19 stored of 19

19 results

Cited by patents worldwide 1 (Lens.org)

References 47