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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 …
Using artificial intelligence and data fusion for environmental monitoring: A review and future perspectives
Analyzing satellite images and remote sensing (RS) data using artificial intelligence (AI)
tools and data fusion strategies has recently opened new perspectives for environmental …
tools and data fusion strategies has recently opened new perspectives for environmental …
[HTML][HTML] Artificial intelligence based anomaly detection of energy consumption in buildings: A review, current trends and new perspectives
Enormous amounts of data are being produced everyday by sub-meters and smart sensors
installed in residential buildings. If leveraged properly, that data could assist end-users …
installed in residential buildings. If leveraged properly, that data could assist end-users …
An innovative deep anomaly detection of building energy consumption using energy time-series images
Deep anomaly detection (DAD) is essential in optimizing building energy management.
Nonetheless, most existing works concerning this field consider unsupervised learning and …
Nonetheless, most existing works concerning this field consider unsupervised learning and …
[HTML][HTML] Deep and transfer learning for building occupancy detection: A review and comparative analysis
The building internet of things (BIoT) is quite a promising concept for curtailing energy
consumption, reducing costs, and promoting building transformation. Besides, integrating …
consumption, reducing costs, and promoting building transformation. Besides, integrating …
Applications of artificial intelligence for energy efficiency throughout the building lifecycle: An overview
Abstract The use of Artificial Intelligence (AI) technologies in buildings can assist in reducing
energy consumption through enhanced control, automation, and reliability. This review aims …
energy consumption through enhanced control, automation, and reliability. This review aims …
A comprehensive survey of deep transfer learning for anomaly detection in industrial time series: Methods, applications, and directions
Automating the monitoring of industrial processes has the potential to enhance efficiency
and optimize quality by promptly detecting abnormal events and thus facilitating timely …
and optimize quality by promptly detecting abnormal events and thus facilitating timely …
[HTML][HTML] Next-generation energy systems for sustainable smart cities: Roles of transfer learning
Smart cities attempt to reach net-zero emissions goals by reducing wasted energy while
improving grid stability and meeting service demand. This is possible by adopting next …
improving grid stability and meeting service demand. This is possible by adopting next …
Edge AI for Internet of Energy: Challenges and perspectives
Y Himeur, AN Sayed, A Alsalemi, F Bensaali, A Amira - Internet of Things, 2024 - Elsevier
The digital landscape of the Internet of Energy (IoE) is on the brink of a revolutionary
transformation with the integration of edge Artificial Intelligence (AI). This comprehensive …
transformation with the integration of edge Artificial Intelligence (AI). This comprehensive …
[HTML][HTML] A survey of recommender systems for energy efficiency in buildings: Principles, challenges and prospects
Recommender systems have significantly developed in recent years in parallel with the
witnessed advancements in both internet of things (IoT) and artificial intelligence (AI) …
witnessed advancements in both internet of things (IoT) and artificial intelligence (AI) …