MARATTO

article · Applied Thermal Engineering

Implementing deep reinforcement learning algorithms for optimal building VRF performance considering static and adaptive thermal comfort models

In plain language

No abstract is available for this record, so no summary has been generated.

Research topics

  • Building Energy and Comfort Optimization
  • Refrigeration and Air Conditioning Technologies
  • Adsorption and Cooling Systems

Read the original research

This page summarises published work. The authoritative version sits with the publisher.

DOI: 10.1016/j.applthermaleng.2025.129354

Is something wrong with this record? Report it or request removal.

Discussion

Discuss this research

Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.

No discussion yet. Open the first thread.