Building occupancy number prediction: A Transformer approach
Buildings substantially impact global energy usage and emit significant carbon dioxide.
Building occupancy is crucial to enabling energy conservation in buildings and achieving …
Building occupancy is crucial to enabling energy conservation in buildings and achieving …
MITP-Net: A deep-learning framework for short-term indoor temperature predictions in multi-zone buildings
Indoor temperature prediction is an essential component of building control and energy
saving. Although existing indoor temperature prediction frameworks have achieved …
saving. Although existing indoor temperature prediction frameworks have achieved …
Survey of Artificial Intelligence of Things for Smart Buildings: A closer outlook.
A Sleem, I Elhenawy - … of Intelligent Systems & Internet of …, 2023 - search.ebscohost.com
Abstract Artificial Intelligence of Things (AIoT) is a term used to describe the integration of
Artificial Intelligence (AI) and Internet of Things (IoT) technologies. AIoT combines the …
Artificial Intelligence (AI) and Internet of Things (IoT) technologies. AIoT combines the …
[HTML][HTML] DMFF: Deep multimodel feature fusion for building occupancy detection
K Sun - Building and Environment, 2024 - Elsevier
Abstract The 2022 Global Status Report for Buildings and Construction (Buildings-GSR)
indicates that construction activities have returned to pre-pandemic levels in most major …
indicates that construction activities have returned to pre-pandemic levels in most major …
Attention-empowered transfer learning method for HVAC sensor fault diagnosis in dynamic building environments
B Feng, Q Zhou, J Xing, Q Yang, Y Chen… - Building and …, 2024 - Elsevier
Abstract The Heating, Ventilation and Air Conditioning (HVAC) system is a key system in
buildings for providing energy-saving and occupant-centered indoor services. Sensor fault …
buildings for providing energy-saving and occupant-centered indoor services. Sensor fault …
Multi-Sensor-Based Occupancy Prediction in a Multi-Zone Office Building with Transformer
Buildings are responsible for approximately 40% of the world's energy consumption and
36% of the total carbon dioxide emissions. Building occupancy is essential, enabling …
36% of the total carbon dioxide emissions. Building occupancy is essential, enabling …
Federated Control: A Trustable Control Framework for Large-Scale Cyber-Physical Systems
To break the dilemma of data island, a distributed framework for trustable control is
proposed toward information security and data privacy in large-scale cyber-physical …
proposed toward information security and data privacy in large-scale cyber-physical …
[PDF][PDF] 编译群体智能系统应用程序: 以全分布式智能建筑系统为例
陈文杰， 杨启亮， 姜子炎， 邢建春， 周启臻， 邹荣伟… - 软件学报, 2024 - jos.org.cn
群体智能系统通过邻居个体的信息交互实现群体级别的应用任务, 具有良好的鲁棒性和灵活性.
与此同时, 大多数开发人员难以对分布式, 并行的个体交互机制进行描述. 一些高级语言允许用户 …
与此同时, 大多数开发人员难以对分布式, 并行的个体交互机制进行描述. 一些高级语言允许用户 …
Incorporating Resilience into the IoT-Based Smart Buildings Architecture
The design of IoT-based smart buildings places great emphasis on network infrastructure
and the integration of resilience into the overall system. The research aims to develop a …
and the integration of resilience into the overall system. The research aims to develop a …
A Distributed Intelligent Lighting Control System Based on Deep Reinforcement Learning
With the rapid development of human society, people's requirements for lighting are also
increasing. The amount of energy consumed by lighting systems in buildings is increasing …
increasing. The amount of energy consumed by lighting systems in buildings is increasing …