Project Details

Description

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.
StatusActive
Effective start/end date01/01/201931/12/2021

Keywords

  • 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

    CLAAUDIA

    Facility: Equipment