[HTML][HTML] AI-Driven Innovations in Building Energy Management Systems: A Review of Potential Applications and Energy Savings
Despite the tightening of energy performance standards for buildings in various countries
and the increased use of efficient and renewable energy technologies, it is clear that the …
and the increased use of efficient and renewable energy technologies, it is clear that the …
[HTML][HTML] Graph Neural Networks for building and civil infrastructure operation and maintenance enhancement
This systematic review, conducted within the PRISMA framework, investigates the disruptive
capabilities of Graph Neural Networks (GNNs) in optimising Operations and Maintenance …
capabilities of Graph Neural Networks (GNNs) in optimising Operations and Maintenance …
Performance analysis of air conditioning system integrated with thermal energy storage using enhanced machine learning modelling coupled with fire hawk optimizer
Integrating air conditioning (AC) systems with thermal energy storage (TES) offers a
promising solution for managing large buildings' peak load demands and energy efficiency …
promising solution for managing large buildings' peak load demands and energy efficiency …
Improving the out-of-sample generalization ability of data-driven chiller performance models using physics-guided neural network
Modeling of the chiller performance is essential for the implementation of optimal energy-
efficient control strategies in a heating, ventilation, and air conditioning (HVAC) system …
efficient control strategies in a heating, ventilation, and air conditioning (HVAC) system …
Self-learning dynamic graph neural network with self-attention based on historical data and future data for multi-task multivariate residential air conditioning …
In the context of escalating energy consumption in buildings, particularly from air
conditioning (AC), the intelligent control of AC has become increasingly crucial. Accurately …
conditioning (AC), the intelligent control of AC has become increasingly crucial. Accurately …
Numerical optimization and experimental study of an active chilled beam with high entrainment efficiency
Active chilled beams are increasingly being applied in indoor environments due to their
enhanced thermal comfort and quieter environment. However, their relatively low cooling …
enhanced thermal comfort and quieter environment. However, their relatively low cooling …
[HTML][HTML] SVGS-DSGAT: An IoT-enabled innovation in underwater robotic object detection technology
D Wu, L Luo - Alexandria Engineering Journal, 2024 - Elsevier
With the advancement of Internet of Things (IoT) technology, underwater target detection
and tracking have become increasingly important for ocean monitoring and resource …
and tracking have become increasingly important for ocean monitoring and resource …
Practical application of machine learning in energy and thermal management: Long-term data analysis of solar-assisted AC systems in portable cabins in Kuwait and …
Abstract Machine learning techniques are advancing rapidly in theoretical grounds, but their
practical application and real evaluation in engineering disciplines are limited. This study …
practical application and real evaluation in engineering disciplines are limited. This study …
A Lifelong Meta-Learning Approach for Learning Deep Grey-box Representative Thermal Dynamics Models for Residential Buildings
Thermal dynamics models of residential buildings are crucial for managing energy use and
maintaining desirable indoor environment quality, in the context of decarbonizing the electric …
maintaining desirable indoor environment quality, in the context of decarbonizing the electric …
Design information-assisted graph neural network for modeling central air conditioning systems
Buildings consume huge amounts of energy to create a comfortable and healthy built
environment for people. The building engineering industry has benefitted from the advances …
environment for people. The building engineering industry has benefitted from the advances …