A survey of recommender systems for energy efficiency in buildings: Principles, challenges and prospects

A survey of recommender systems for energy efficiency in buildings: Principles, challenges and prospects

<p dir="ltr">Recommender systems have significantly developed in recent years in parallel with the witnessed advancements in both internet of things (IoT) and artificial intelligence (AI) technologies. Accordingly, as a consequence of IoT and AI, multiple forms of data are incorporat...

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Bibliographic Details
Main Author: Yassine Himeur (14158821) (author)
Other Authors: Abdullah Alsalemi (6951986) (author), Ayman Al-Kababji (16870080) (author), Faycal Bensaali (12427401) (author), Abbes Amira (6952001) (author), Christos Sardianos (8297297) (author), George Dimitrakopoulos (16855419) (author), Iraklis Varlamis (9288743) (author)
Published: 2021
Subjects:
Built environment and design
Building
Engineering
Electrical engineering
Information and computing sciences
Artificial intelligence
Recommender systems
Energy efficiency
Evaluation metrics
Explainable recommender systems
Visualization
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