A sensor-fused BIM-based ıntelligent control system for energy-efficient ındoor environmental regulation using deep actor-critic reinforcement learning (DACRL)
Libin Tong · 2025
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Description
Libin Tong built a smart control system for indoor air in a 2025 paper. Buildings eat a large share of energy, and their air must stay fresh and at ease. Rule-based controls cannot adapt, while model-based ones lean hard on a true model of each building.
Tong fused live sensor feeds with a digital twin of the building's plan. A deep actor-critic reinforcement learner then steers heat, air flow, and light in real time. It learns from results rather than from a fixed model. The aim is lower bills with no loss of comfort, a pairing owners have long wanted.
Catalog record
| CREATOR | Libin Tong |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 79 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |