A review of strategies for building energy management system: Model predictive control, demand side management, optimization, and fault detect & diagnosis
Building energy use is expected to grow by more than 40% in the next 20 years. Electricity
remains the largest energy source consumed by buildings, and that demand is growing. To …
remains the largest energy source consumed by buildings, and that demand is growing. To …
Intelligent building control systems for thermal comfort and energy-efficiency: A systematic review of artificial intelligence-assisted techniques
Building operations represent a significant percentage of the total primary energy consumed
in most countries due to the proliferation of Heating, Ventilation and Air-Conditioning …
in most countries due to the proliferation of Heating, Ventilation and Air-Conditioning …
Review on occupancy detection and prediction in building simulation
Y Ding, S Han, Z Tian, J Yao, W Chen, Q Zhang - Building Simulation, 2022 - Springer
Energy simulation results for buildings have significantly deviated from actual consumption
because of the uncertainty and randomness of occupant behavior. Such differences are …
because of the uncertainty and randomness of occupant behavior. Such differences are …
Occupancy detection in non-residential buildings–A survey and novel privacy preserved occupancy monitoring solution
Buildings use approximately 40% of global energy and are responsible for almost a third of
the worldwide greenhouse gas emissions. They also utilise about 60% of the world's …
the worldwide greenhouse gas emissions. They also utilise about 60% of the world's …
MPC-based robust optimization of smart apartment building considering uncertainty for conservative reduction
Undergoing a significant transition is demand-side management (DSM), brought about by
changes in the energy landscape, including the extensive deployment of renewable energy …
changes in the energy landscape, including the extensive deployment of renewable energy …
Design and implementation of a cloud enabled random neural network-based decentralized smart controller with intelligent sensor nodes for HVAC
Building energy management systems (BEMSs) monitor and control the heating ventilation
and air conditioning (HVAC) of buildings in addition to many other building systems and …
and air conditioning (HVAC) of buildings in addition to many other building systems and …
Intelligent intrusion detection in low-power IoTs
Security and privacy of data are one of the prime concerns in today's Internet of Things (IoT).
Conventional security techniques like signature-based detection of malware and regular …
Conventional security techniques like signature-based detection of malware and regular …
Improving energy consumption of a commercial building with IoT and machine learning
The critical requirements for devices connected to the Internet of Things are long battery life,
long coverage range, and low deployment cost. The authors developed a machine-learning …
long coverage range, and low deployment cost. The authors developed a machine-learning …
Improvement of thermal comfort for underground space: Data enhancement using variational autoencoder
The proportion of buildings occupying underground space has increased with three-
dimensional urban development. Thermal comfort is crucial to the design of underground …
dimensional urban development. Thermal comfort is crucial to the design of underground …
RNN-ABC: A new swarm optimization based technique for anomaly detection
The exponential growth of internet communications and increasing dependency of users
upon software-based systems for most essential, everyday applications has raised the …
upon software-based systems for most essential, everyday applications has raised the …