| Data-driven offline reinforcement learning for HVAC-systems C Blad, S Bøgh, CS Kallesøe Energy 261, 125290, 2022 | 32 | 2022 |
| A multi-agent reinforcement learning approach to price and comfort optimization in hvac-systems C Blad, S Bøgh, C Kallesøe Energies 14 (22), 7491, 2021 | 12 | 2021 |
| Control of hvac-systems with slow thermodynamic using reinforcement learning C Blad, S Koch, S Ganeswarathas, CS Kallesøe, S Bøgh Procedia Manufacturing 38, 1308-1315, 2019 | 11 | 2019 |
| A laboratory test of an offline-trained multi-agent reinforcement learning algorithm for heating systems C Blad, S Bøgh, C Kallesøe, P Raftery Applied Energy 337, 120807, 2023 | 7 | 2023 |
| Control of hvac-systems using reinforcement learning with hysteresis and tolerance control C Blad, CS Kallesøe, S Bøgh 2020 IEEE/SICE international symposium on system integration (SII), 938-942, 2020 | 7 | 2020 |
| A Multi-Agent Reinforcement Learning Approach to Price and Comfort Optimization in HVAC-Systems. Energies 2021, 14, 7491 C Blad, S Bøgh, C Kallesøe s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2021 | 2 | 2021 |
| Reinforcement Learning Based Control for Heating Ventilation and Air-conditioning C Blad | | 2022 |
| VIRTUAL COMMISSIONING OF A RECONFIGURABLE MANUFACTURING SYSTEM C Blad, E Straznickas, S Ganeswarathas, S Koch | | |
