Nonlinearity in thermal comfort-based control systems: A systematic review DOI Creative Commons
Nourehan Wahba, Behzad Rismanchi, Ye Pu

et al.

Energy and Buildings, Journal Year: 2024, Volume and Issue: unknown, P. 115060 - 115060

Published: Nov. 1, 2024

Language: Английский

Multi-agent deep reinforcement learning based HVAC control for multi-zone buildings considering zone-energy-allocation optimization DOI
Wenping Xue, Ning Jia, Ming Zhao

et al.

Energy and Buildings, Journal Year: 2025, Volume and Issue: 329, P. 115241 - 115241

Published: Jan. 2, 2025

Language: Английский

Citations

4
Reinforcement Learning for Control and Optimization of Real Buildings: Identifying and Addressing Implementation Hurdles DOI Creative Commons
Lotta Kannari, Nina Wessberg,

Sara Hirvonen

et al.

Journal of Building Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 112283 - 112283

Published: March 1, 2025

Language: Английский

Citations

2
Digital Twin Smart City Visualization with MoE-Based Personal Thermal Comfort Analysis DOI Creative Commons

Hoang-Khanh Lam,

Phuoc-Dat Lam, Soo-Yol Ok

et al.

Sensors, Journal Year: 2025, Volume and Issue: 25(3), P. 705 - 705

Published: Jan. 24, 2025

Digital twin technology us used to create accurate virtual representations of objects or systems. twins span the object’s life cycle and keep updated with real-time data. Therefore, their simulation capabilities can be combined deep learning a system that simulates scenarios, enabling analysis. As cities continue grow demand for sustainable development increases, digital technology, AI-driven analysis, will play critical role in shaping future urban environments. The ability accurately simulate manage complex systems real time opens up new possibilities optimizing energy usage, reducing costs, improving quality residents. In this study, application is built visualize smart area South Korea, utilizing model personal thermal comfort which useful managing saving building household consumption. Using Cesium Unreal, powerful tool integrating 3D geospatial data, leveraging DataSmith convert data into Unreal Engine format, study also contributes roadmap city development, currently considered lacking. By creating robust framework applications, research not only addresses current challenges but lays groundwork innovations planning management.

Language: Английский

Citations

1
Data-driven Pre-training Framework for Reinforcement Learning of Air-Source Heat Pump (ASHP) Systems Based on Historical Data in Office Buildings: Field Validation DOI
Wenqi Zhang, Yong Yu,

Zhongyuan Yuan

et al.

Energy and Buildings, Journal Year: 2025, Volume and Issue: unknown, P. 115436 - 115436

Published: Feb. 1, 2025

Language: Английский

Citations

0
Stable energy management for highway electric vehicle charging based on reinforcement learning DOI

Hongbin Xie,

Song Ge,

Zhuoran Shi

et al.

Applied Energy, Journal Year: 2025, Volume and Issue: 389, P. 125541 - 125541

Published: March 19, 2025

Language: Английский

Citations

0
Autonomous in-situ modeling for virtual building models in digital twins DOI

Jeyoon Lee,

Jiteng Li,

Sungmin Yoon

et al.

Expert Systems with Applications, Journal Year: 2025, Volume and Issue: unknown, P. 127289 - 127289

Published: March 1, 2025

Citations

0
Hierarchical Control Strategy for Heating Systems Using Multi-Agent Deep Reinforcement Learning DOI
Ya‐Ling Wu,

Mingyang Cong,

Qi Lu

et al.

Journal of Building Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 112699 - 112699

Published: April 1, 2025

Language: Английский

Citations

0
Customized large-scale model for human-AI collaborative operation and maintenance management of building energy systems DOI
Siliang Chen, Xinbin Liang, Liu Ying

et al.

Applied Energy, Journal Year: 2025, Volume and Issue: 393, P. 126169 - 126169

Published: May 20, 2025

Language: Английский

Citations

0
Optimizing energy efficiency and Sustainable utilization of National Heritage through the remodeling of closed school buildings DOI

Haedeun Park,

Su-Hwan Yeo,

Hyeonwoo Jeong

et al.

Energy and Buildings, Journal Year: 2024, Volume and Issue: unknown, P. 115168 - 115168

Published: Dec. 1, 2024

Language: Английский

Citations

2
Nonlinearity in thermal comfort-based control systems: A systematic review DOI Creative Commons
Nourehan Wahba, Behzad Rismanchi, Ye Pu

et al.

Energy and Buildings, Journal Year: 2024, Volume and Issue: unknown, P. 115060 - 115060

Published: Nov. 1, 2024

Language: Английский

Citations

1