AI-big data analytics for building automation and management systems: a survey, actual challenges and future perspectives
In theory, building automation and management systems (BAMSs) can provide all the
components and functionalities required for analyzing and operating buildings. However, in …
components and functionalities required for analyzing and operating buildings. However, in …
[HTML][HTML] Interpretable machine learning for building energy management: A state-of-the-art review
Abstract Machine learning has been widely adopted for improving building energy efficiency
and flexibility in the past decade owing to the ever-increasing availability of massive building …
and flexibility in the past decade owing to the ever-increasing availability of massive building …
Review on model predictive control: An engineering perspective
Abstract Model-based predictive control (MPC) describes a set of advanced control
methods, which make use of a process model to predict the future behavior of the controlled …
methods, which make use of a process model to predict the future behavior of the controlled …
Advanced controls on energy reliability, flexibility, resilience, and occupant-centric control for smart and energy-efficient buildings—a state-of-the-art review
Advanced controls have attracted increasing interests due to the high requirement on smart
and energy-efficient (SEE) buildings and decarbonization in the building industry with …
and energy-efficient (SEE) buildings and decarbonization in the building industry with …
[HTML][HTML] A systematic literature review on the use of artificial intelligence in energy self-management in smart buildings
Buildings are one of the main consumers of energy in cities, which is why a lot of research
has been generated around this problem. Especially, the buildings energy management …
has been generated around this problem. Especially, the buildings energy management …
[HTML][HTML] Energy modelling and control of building heating and cooling systems with data-driven and hybrid models—A review
Implementing an efficient control strategy for heating, ventilation, and air conditioning
(HVAC) systems can lead to improvements in both energy efficiency and thermal …
(HVAC) systems can lead to improvements in both energy efficiency and thermal …
Learning-based CO2 concentration prediction: Application to indoor air quality control using demand-controlled ventilation
There have been increasing concerns over the air quality inside buildings as high levels of
bio-effluents can cause nausea, dizziness, headaches, and fatigue to the people working in …
bio-effluents can cause nausea, dizziness, headaches, and fatigue to the people working in …
Integration of IoT in building energy infrastructure: A critical review on challenges and solutions
Abstract The Internet of Things (IoT) has unprecedentedly entangled the physical world with
cyber technologies and its integration with building infrastructure (BI) is no different …
cyber technologies and its integration with building infrastructure (BI) is no different …
Federated reinforcement learning for smart building joint peer-to-peer energy and carbon allowance trading
The multi-energy system (MES), which is regarded as an optimum solution to a high-
efficiency, green energy system and a crucial shift towards the future low-carbon energy …
efficiency, green energy system and a crucial shift towards the future low-carbon energy …
[HTML][HTML] Cyber-physical systems improving building energy management: Digital twin and artificial intelligence
The research explores the potential of digital-twin-based methods and approaches aimed at
achieving an intelligent optimization and automation system for energy management of a …
achieving an intelligent optimization and automation system for energy management of a …