most citedBuilding power consumption datasets: Survey, taxonomy and future directions

113 citations · 349 across the 8 of their papers we have counts for

collaborators

14 papers

physics.soc-ph2021

Marketability of building energy efficiency systems based on behavioral change: A case study of a novel micro-moments based solution

Yassine Himeur, Abdullah Alsalemi, Faycal Bensaali +5

In spite of the substantial advance in developing energy-efficient buildings, power demand in the building sector is still remarkably growing due to teleworking and e-learning trig…

cs.IR2021

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

Yassine Himeur, Abdullah Alsalemi, Ayman Al-Kababji +5

Recommender systems have significantly developed in recent years in parallel with the witnessed advancements in both internet of things (IoT) and artificial intelligence (AI) techn…

cs.CY202159 cited

Smart non-intrusive appliance identification using a novel local power histogramming descriptor with an improved k-nearest neighbors classifier

Yassine Himeur, Abdullah Alsalemi, Faycal Bensaali +1

Non-intrusive load monitoring (NILM) is a key cost-effective technology for monitoring power consumption and contributing to several challenges encountered when transiting to an ef…

cs.LG2020

Appliance-Level Monitoring with Micro-Moment Smart Plugs

Abdullah Alsalemi, Yassine Himeur, Faycal Bensaali +1

Human population are striving against energy-related issues that not only affects society and the development of the world, but also causes global warming. A variety of broad appro…

cs.DC2020

Cloud Energy Micro-Moment Data Classification: A Platform Study

Abdullah Alsalemi, Ayman Al-Kababji, Yassine Himeur +2

Energy efficiency is a crucial factor in the well-being of our planet. In parallel, Machine Learning (ML) plays an instrumental role in automating our lives and creating convenient…

cs.AI202098 cited

The emergence of Explainability of Intelligent Systems: Delivering Explainable and Personalised Recommendations for Energy Efficiency

Christos Sardianos, Iraklis Varlamis, Christos Chronis +5

The recent advances in artificial intelligence namely in machine learning and deep learning, have boosted the performance of intelligent systems in several ways. This gave rise to…