Coupling physical and machine learning models: case study of a single-family house

Basak Falay, Sandra Wilfling, Qamar Alfalouji, Johannes Exenberger, Thomas Schranz, Christian Møldrup Legaard, Ingo Leusbrock, Gerald Schweiger

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review


Future intelligent and integrated energy systems must have a high degree of flexibility and efficiency to ensure reliable and sustainable operation. Along with the rapid expansion of renewable energy, this degree of flexibility and efficiency can be achieved by overcoming the clear separation between different sectors and by increasing connectivity and the associated data availability through the integration of sensors and edge/fog computing. All of these developments drive the transition from towards so-called Cyber-Physical Energy Systems . The Cyber technologies (sensors, edge/fog computing, IoT networks, etc.) are able to monitor the physical systems, to enable communication between different subsystems and to control them. The emergence of Cyber-Physical Systems poses new challenges for traditional modelling and simulation approaches.
Original languageEnglish
Title of host publicationProceedings of 14th Modelica Conference 2021
EditorsMartin Sjölund, Lena Buffoni, Adrian Pop, Lennart Ochel
Place of PublicationLinköping
Number of pages7
Publication statusPublished - 27 Sept 2021
Event14th International Modelica Conference - Virtuell, Sweden
Duration: 20 Sept 202124 Dec 2021


Conference14th International Modelica Conference
Internet address


  • co-simulation
  • building
  • smart energy system


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