[HTML][HTML] An overview of machine learning applications for smart buildings
The efficiency, flexibility, and resilience of building-integrated energy systems are
challenged by unpredicted changes in operational environments due to climate change and …
challenged by unpredicted changes in operational environments due to climate change and …
[HTML][HTML] Condition monitoring using machine learning: A review of theory, applications, and recent advances
In modern industry, the quality of maintenance directly influences equipment's operational
uptime and efficiency. Hence, based on monitoring the condition of the machinery, predictive …
uptime and efficiency. Hence, based on monitoring the condition of the machinery, predictive …
Future smart cities: Requirements, emerging technologies, applications, challenges, and future aspects
Future smart cities are the key to fulfilling the ever-growing demands of citizens. Information
and communication advancements will empower better administration of accessible …
and communication advancements will empower better administration of accessible …
[HTML][HTML] A Digital Twin predictive maintenance framework of air handling units based on automatic fault detection and diagnostics
The building industry consumes the most energy globally, making it a priority in energy
efficiency initiatives. Heating, ventilation, and air conditioning (HVAC) systems create the …
efficiency initiatives. Heating, ventilation, and air conditioning (HVAC) systems create the …
A review of data-driven fault detection and diagnostics for building HVAC systems
With the wide adoption of building automation system, and the advancement of data,
sensing, and machine learning techniques, data-driven fault detection and diagnostics …
sensing, and machine learning techniques, data-driven fault detection and diagnostics …
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 …
A review of computing-based automated fault detection and diagnosis of heating, ventilation and air conditioning systems
Abstract Faults in Heating, Ventilation, and Air Conditioning (HVAC) systems of buildings
result in significant energy waste in building operation. With fast-growing sensing data …
result in significant energy waste in building operation. With fast-growing sensing data …
Analysis of challenges and solutions of IoT in smart grids using AI and machine learning techniques: A review
With the assistance of machine learning, difficult tasks can be completed entirely on their
own. In a smart grid (SG), computers and mobile devices may make it easier to control the …
own. In a smart grid (SG), computers and mobile devices may make it easier to control the …
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 …
[HTML][HTML] Digital twin enabled fault detection and diagnosis process for building HVAC systems
The emerging concept of digital twins outlines the pathway towards intelligent buildings.
Although abundant building data carries an overwhelming amount of information, if not well …
Although abundant building data carries an overwhelming amount of information, if not well …