Browsing by Author "Himeur, Yassine"
Now showing items 41-55 of 55
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Recent trends of smart nonintrusive load monitoring in buildings: A review, open challenges, and future directions
Himeur, Yassine; Alsalemi, Abdullah; Bensaali, Faycal; Amira, Abbes; Al-Kababji, Ayman ( John Wiley and Sons Ltd , 2022 , Article)Smart nonintrusive load monitoring (NILM) represents a cost-efficient technology for observing power usage in buildings. It tackles several challenges in transitioning into a more effective, sustainable, and digital energy ... -
Recommendation System Towards Residential Energy Saving Based on Anomaly Detection
Atalla, Shadi; Himeur, Yassine; Mansoor, Wathiq; Amira, Abbes; Fadli, Fodil; Copiaco, Abigail; Sohail, Shahab Saquib... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2022 , Conference Paper)This paper presents a recommender system to promote energy consumption reduction behaviors in residential buildings. The system exploits data stream processing methods jointly with machine learning algorithms on real-time ... -
REHAB-C: Recommendations for Energy HABits Change
Sardianos, Christos; Varlamis, Iraklis; Dimitrakopoulos, George; Anagnostopoulos, Dimosthenis; Alsalemi, Abdullah; Bensaali, Faycal; Himeur, Yassine; Amira, Abbes... more authors ... less authors ( Elsevier , 2020 , Article)This paper introduces REHAB-C, a goal-based context-aware recommendation system that supports users in transforming their energy habits. A combination of smart sensors and actuators collects information about user actions ... -
Reshaping Consumption Habits by Exploiting Energy-Related Micro-moment Recommendations: A Case Study
Sardianos, Christos; Varlamis, Iraklis; Chronis, Christos; Dimitrakopoulos, George; Alsalemi, Abdullah; Himeur, Yassine; Bensaali, Faycal; Amira, Abbes... more authors ... less authors ( Springer Science and Business Media Deutschland GmbH , 2021 , Conference Paper)The environmental change and its effects, caused by human influences and natural ecological processes over the last decade, prove that it is now more prudent than ever to transition to more sustainable models of energy ... -
Robust event-based non-intrusive appliance recognition using multi-scale wavelet packet tree and ensemble bagging tree
Himeur, Yassine; Alsalemi, Abdullah; Bensaali, Faycal; Amira, Abbes ( Elsevier , 2020 , Article)Providing the user with appliance-level consumption data is the core of each energy efficiency system. To that end, non-intrusive load monitoring is employed for extracting appliance specific consumption data at a low cost ... -
Smart fusion of sensor data and human feedback for personalized energy-saving recommendations
Varlamis, Iraklis; Sardianos, Christos; Chronis, Christos; Dimitrakopoulos, George; Himeur, Yassine; Alsalemi, Abdullah; Bensaali, Faycal; Amira, Abbes... more authors ... less authors ( Elsevier , 2022 , Article)Despite the variety of sensors that can be used in a smart home or office setup, for monitoring energy consumption and assisting users to save energy, their usefulness is limited when they are not properly integrated into ... -
Smart non-intrusive appliance identification using a novel local power histogramming descriptor with an improved k-nearest neighbors classifier
Himeur, Yassine; Alsalemi, Abdullah; Bensaali, Faycal; Amira, Abbes ( Elsevier , 2021 , Article)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 efficient, sustainable, and competitive ... -
Smart power consumption abnormality detection in buildings using micromoments and improved K-nearest neighbors
Himeur, Yassine; Alsalemi, Abdullah; Bensaali, Faycal; Amira, Abbes ( John Wiley and Sons Ltd , 2021 , Article)Anomaly detection in energy consumption is a crucial step towards developing efficient energy saving systems, diminishing overall energy expenditure and reducing carbon emissions. Therefore, implementing powerful techniques ... -
Smart Sensing and End-Users' Behavioral Change in Residential Buildings: An Edge-Based Internet of Energy Perspective
Alsalemi, Abdullah; Himeur, Yassine; Bensaali, Faycal; Amira, Abbes ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Internet of Energy (IoE) is revolutionizing the building energy industry by introducing numerous innovations that help in data collection, interpretation, and behavioural improvement. Consequently, collecting and analyzing ... -
Techno-economic assessment of building energy efficiency systems using behavioral change: A case study of an edge-based micro-moments solution
Himeur, Yassine; Alsalemi, Abdullah; Bensaali, Faycal; Amira, Abbes; Varlamis, Iraklis; Bravos, George; Sardianos, Christos; Dimitrakopoulos, George... more authors ... less authors ( Elsevier , 2022 , Article)Energy efficiency based on behavioral change has attracted increasing interest in recent years, although, solutions in this area lack much needed techno-economic analysis. That is due to the absence of both prospective ... -
The emergence of explainability of intelligent systems: Delivering explainable and personalized recommendations for energy efficiency
Sardianos, Christos; Varlamis, Iraklis; Chronis, Christos; Dimitrakopoulos, George; Alsalemi, Abdullah; Himeur, Yassine; Bensaali, Faycal; Amira, Abbes... more authors ... less authors ( John Wiley and Sons Ltd , 2021 , Article)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 human expectations, but also created the ... -
The Emergence of Hybrid Edge-Cloud Computing for Energy Efficiency in Buildings
Himeur, Yassine; Alsalemi, Abdullah; Bensaali, Faycal; Amira, Abbes ( Springer Science and Business Media Deutschland GmbH , 2022 , Conference Paper)Edge computing is attracting an increasing attention presently even though most of the building energy efficiency solutions are still using cloud computing for gathering, pre-processing and analyzing energy data. However, ... -
A Two-Stage Energy Anomaly Detection for Edge-based Building Internet of Things (BIoT) Applications
Himeur, Yassine; Fadli, Fodil; Amira, Abbes ( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2022 , Conference Paper)The Building Internet of Energy (BIoE) is quite promising for curtailing energy consumption, reducing costs, and promoting building transformation. Integrating Artificial Intelligence into the BIoE is essential for big ... -
Using big data and federated learning for generating energy efficiency recommendations
Varlamis, Iraklis; Sardianos, Christos; Chronis, Christos; Dimitrakopoulos, George; Himeur, Yassine; Alsalemi, Abdullah; Bensaali, Faycal; Amira, Abbes... more authors ... less authors ( Springer Science and Business Media Deutschland GmbH , 2022 , Article)Internet of Things (IoT) devices are becoming popular solutions for smart home and office environments and contribute the most to energy efficiency. The most common implementation of such solutions relies on smart home ... -
Video surveillance using deep transfer learning and deep domain adaptation: Towards better generalization
Himeur, Yassine; Al-Maadeed, Somaya; Kheddar, Hamza; Al-Maadeed, Noor; Abualsaud, Khalid; Mohamed, Amr; Khattab, Tamer... more authors ... less authors ( Elsevier , 2023 , Other)Recently, developing automated video surveillance systems (VSSs) has become crucial to ensure the security and safety of the population, especially during events involving large crowds, such as sporting events. While ...