Next-generation energy systems for sustainable smart cities: Roles of transfer learning

Next-generation energy systems for sustainable smart cities: Roles of transfer learning

<p>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-generation energy systems, which leverage artificial intelligence, the Internet of things (IoT), and communication te...

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Bibliographic Details
Main Author: Yassine Himeur (14158821) (author)
Other Authors: Mariam Elnour (14147790) (author), Fodil Fadli (14147793) (author), Nader Meskin (14147796) (author), Ioan Petri (9074591) (author), Yacine Rezgui (7176740) (author), Faycal Bensaali (12427401) (author), Abbes Amira (6952001) (author)
Published: 2022
Subjects:
Built environment and design
Architecture
Urban and regional planning
Information and computing sciences
Artificial intelligence
Distributed computing and systems software
Machine learning
Transfer learning
Energy systems for sustainable smart cities
Deep transfer learning
Domain adaptation
Computing platforms
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