Project Details


Underfloor heating is one of the most used heating forms in Northern Europe. The project will focus on new machine learning control strategies for underfloor heating systems with a newly developed mechanical temperature and distribution solution. The project will achieve better room temperature control by using weather forecast information in a management strategy based on Reinforcement Learning. The solutions developed will optimize room temperature control without the need for a complex installation phase.
Effective start/end date01/01/201931/12/2021


  • Reinforcement Learning
  • Artificial Intelligence
  • Production
  • Machine Learning

Research Output

  • 1 Article in proceeding

Control of HVAC-Systems Using Reinforcement Learning With Hysteresis and Tolerance Control

Blad, C., Kallesøe, C. & Bøgh, S., 2020, IEEE/SICE International Symposium on System Integration. IEEE, p. 938-942 5 p. 9026189. (Proceedings of the 2020 IEEE/SICE International Symposium on System Integration).

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

  • Equipment

    AI Cloud Service


    Facility: Equipment