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January 18, 2021 article Open access Aachen paper

Indoor environment data time-series reconstruction using autoencoder neural networks

Building and Environment, vol. 191, pp. 107623

DOI: 10.1016/j.buildenv.2021.107623 Full text (OA) OpenAlex

Authors 6

  1. Antonio Liguori 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, Mathieustr. 30, 52074 Aachen, Germany

  2. Romana Markovic

    Karlsruhe Institute of Technology

    Affiliation as printed

    Building Science Group, Karlsruhe Institute of Technology, Englerstr. 7, 76131 Karlsruhe, Germany

  3. Thi Thu Ha Dam 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, Mathieustr. 30, 52074 Aachen, Germany

  4. Jérôme Frisch 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, Mathieustr. 30, 52074 Aachen, Germany

  5. 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, Mathieustr. 30, 52074 Aachen, Germany

  6. Francesco Causone

    Politecnico di Milano

    Affiliation as printed

    Department of Energy, Politecnico di Milano, Via Lambruschini 4, 20156 Milano, Italy

Cited by 43 stored of 43

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References 80