Indoor environment data time-series reconstruction using autoencoder neural networks

Building and Environment, vol. 191, pp. 107623

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