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 …
Federated learning for smart cities: A comprehensive survey
With the advent of new technologies such as the Artificial Intelligence of Things (AIoT), big
data, fog computing, and edge computing, smart city applications have suffered from issues …
data, fog computing, and edge computing, smart city applications have suffered from issues …
[HTML][HTML] A three-layer game theoretic-based strategy for optimal scheduling of microgrids by leveraging a dynamic demand response program designer to unlock the …
The proliferation of the number of Smart Buildings (SBs) and the fleet of Electric Vehicles
(EVs) in Distribution Systems (DSs) makes the need for new strategies to coordinate them …
(EVs) in Distribution Systems (DSs) makes the need for new strategies to coordinate them …
[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 …
A survey on IoT-enabled smart grids: emerging, applications, challenges, and outlook
Swift population growth and rising demand for energy in the 21st century have resulted in
considerable efforts to make the electrical grid more intelligent and responsive to …
considerable efforts to make the electrical grid more intelligent and responsive to …
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 …
Digital twin with Machine learning for predictive monitoring of CO2 equivalent from existing buildings
A Arsiwala, F Elghaish, M Zoher - Energy and Buildings, 2023 - Elsevier
The revolution of the industry 4.0 presents a new era of digital transformation for the
construction industry, advancing towards the concept of digital twins, while on the other …
construction industry, advancing towards the concept of digital twins, while on the other …
Cyber security in smart cities: a review of deep learning-based applications and case studies
On the one hand, smart cities have brought about various changes, aiming to revolutionize
people's lives. On the other hand, while smart cities bring better life experiences and great …
people's lives. On the other hand, while smart cities bring better life experiences and great …
[HTML][HTML] Smart city and cyber-security; technologies used, leading challenges and future recommendations
C Ma - Energy Reports, 2021 - Elsevier
Today, some cities around the world have tended to use new technologies and become
smart city. New technologies improve the quality of citizens' life. However, the use of any …
smart city. New technologies improve the quality of citizens' life. However, the use of any …
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 …