تصفح حسب المؤلف "Himeur, Yassine"
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Detection of Appliance-Level Abnormal Energy Consumption in Buildings Using Autoencoders and Micro-moments
Himeur, Yassine; Alsalemi, Abdullah; Bensaali, Faycal; Amira, Abbes ( Springer Science and Business Media Deutschland GmbH , 2022 , Conference Paper)The detection of anomalous energy usage could help significantly in signaling energy wastage and identifying faulty appliances, especially if the individual power traces are analyzed. To that end, this paper proposes a ... -
Effective non-intrusive load monitoring of buildings based on a novel multi-descriptor fusion with dimensionality reduction
Himeur, Yassine; Alsalemi, Abdullah; Bensaali, Faycal; Amira, Abbes ( Elsevier , 2020 , Article)Recently, a growing interest has been dedicated towards developing and implementing low-cost energy efficiency solutions in buildings. Accordingly, non-intrusive load monitoring has been investigated in various academic ... -
Efficient multi-descriptor fusion for non-intrusive appliance recognition
Himeur, Yassine; Alsalemi, Abdullah; Bensaali, Faycal; Amira, Abbes ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Consciousness about power consumption at the appliance level can assist user in promoting energy efficiency in households. In this paper, a superior non-intrusive appliance recognition method that can provide particular ... -
Employing Information Theoretic Metrics with Data-Driven Occupancy Detection Approaches: A Comparative Analysis
Sayed, Aya Nabil; Hamila, Ridha; Himeur, Yassine; Bensaali, Faycal ( IEEE , 2022 , Conference Paper)Building occupancy data helps increase energy management systems' performance, enabling lower energy use while preserving occupant comfort. The focus of this study is employing environmental data (e.g., including but not ... -
Endorsing Energy Efficiency Through Accurate Appliance-Level Power Monitoring, Automation and Data Visualization
Sayed, Aya; Alsalemi, Abdullah; Himeur, Yassine; Bensaali, Faycal; Amira, Abbes ( Springer Science and Business Media Deutschland GmbH , 2022 , Conference Paper)Accrediting the fast economic growth and the enhancement of people's live standards, the overall household's energy consumption is becoming more and more substantial. Thus, the need of conserving energy is becoming a ... -
Energy Data Visualizations on Smartphones for Triggering Behavioral Change: Novel Vs. Conventional
Al-Kababji, Ayman; Alsalemi, Abdullah; Himeur, Yassine; Bensaali, Faycal; Amira, Abbes; Fernandez, Rachael; Fetais, Noora... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)This paper conveys the importance of using suitable data visualizations for electrical energy consumption and the effect it carries on reducing said consumption. Data visualization tools construct an important pillar in ... -
Exploring 2D Representation and Transfer Learning Techniques for People Identification in Indoor Localization
Kerdjidj, Oussama; Himeur, Yassine; Atalla, Shadi; Copiac, Abigail; Sohail, Shahab Saquib; Fadli, Fodil; Amira, Abbes; Mansoor, Wathiq; Gawanmeh, Amjad... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2023 , Conference Paper)Indoor localization is a crucial aspect of various disciplines in our daily lives. It enables efficient administration tasks and improves safety by identifying the position of items or people inside spaces, making it useful ... -
Exploring Deep Time-Series Imaging for Anomaly Detection of Building Energy Consumption
Copiaco, Abigail; Himeur, Yassine; Amira, Abbes; Mansoor, Wathiq; Fadli, Fodil; Atalla, Shadi... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2022 , Conference Paper)Although deep anomaly detection (DAD) is crucial to optimize energy management in smart buildings, there is a lack of efficient research investigating DAD of energy consumption time-series. Besides, analyzing one-dimensional ... -
Face Mask Detection in Smart Cities Using Deep and Transfer Learning: Lessons Learned from the COVID-19 Pandemic
Himeur, Yassine; Al-Maadeed, Somaya; Varlamis, Iraklis; Al-Maadeed, Noor; Abualsaud, Khalid; Mohamed, Amr... more authors ... less authors ( Multidisciplinary Digital Publishing Institute (MDPI) , 2023 , Article)After different consecutive waves, the pandemic phase of Coronavirus disease 2019 does not look to be ending soon for most countries across the world. To slow the spread of the COVID-19 virus, several measures have been ... -
Improving In-Home Appliance Identification Using Fuzzy-Neighbors-Preserving Analysis Based QR-Decomposition
Himeur, Yassine; Alsalemi, Abdullah; Bensaali, Faycal; Amira, Abbes ( Springer Science and Business Media Deutschland GmbH , 2021 , Conference Paper)This paper proposes a new appliance identification scheme by introducing a novel approach for extracting highly discriminative characteristic sets that can considerably distinguish between various appliance footprints. In ... -
An innovative deep anomaly detection of building energy consumption using energy time-series images
Abigail, Copiaco; Himeur, Yassine; Amira, Abbes; Mansoor, Wathiq; Fadli, Fodil; Atalla, Shadi; Sohail, Shahab Saquib... more authors ... less authors ( Elsevier , 2023 , Article)Deep anomaly detection (DAD) is essential in optimizing building energy management. Nonetheless, most existing works concerning this field consider unsupervised learning and involve the analysis of sensor readings through ... -
Intelligent edge-based recommender system for internet of energy applications
Sayed, Aya Nabeel; Bensaali, Faycal; Himeur, Yassine ( Qatar University Press , 2021 , Poster)When investigating how people conserve energy, most researchers and decision-makers render a conceptual distinction between prevention (e.g. unplugging devices) and productivity measures. Nevertheless, such a two-dimensional ... -
Intelligent Edge-Based Recommender System for Internet of Energy Applications
Sayed, Aya; Himeur, Yassine; Alsalemi, Abdullah; Bensaali, Faycal; Amira, Abbes ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)Preserving energy in households and office buildings is a significant challenge, mainly due to the recent shortage of energy resources, the uprising of the current environmental problems, and the global lack of utilizing ... -
Interactive visual study for residential energy consumption data
Al-Kababji, Ayman; Alsalemi, Abdullah; Himeur, Yassine; Fernandez, Rachael; Bensaali, Faycal; Amira, Abbes; Fetais, Noora... more authors ... less authors ( Elsevier , 2022 , Article)Interactive data visualization tools for residential energy data are instrumental indicators for analyzing end user behavior. These visualizations can be used as continuous home feedback systems and can be accessed from ... -
Latest trends of security and privacy in recommender systems: A comprehensive review and future perspectives
Himeur, Yassine; Sohail, Shahab Saquib; Bensaali, Faycal; Amira, Abbes; Alazab, Mamoun ( Elsevier , 2022 , Article Review)With the widespread use of Internet of things (IoT), mobile phones, connected devices and artificial intelligence (AI), recommender systems (RSs) have become a booming technology because of their capability to analyze big ... -
Neural network-based model predictive control system for optimizing building automation and management systems of sports facilities
Elnour, M.; Himeur, Yassine; Fadli, Fodil; Mohammedsherif, Hamdi; Meskin, Nader; Ahmad, Ahmad M.; Petri, Ioan; Rezgui, Yacine; Hodorog, Andrei... more authors ... less authors ( Elsevier Ltd , 2022 , Article)Sports facilities are considered complex buildings due to their high energy demand and occupancy profiles. Therefore, their management and optimization are crucial for reducing their energy consumption and carbon footprint ... -
Next-generation energy systems for sustainable smart cities: Roles of transfer learning
Himeur, Yassine; Elnour, Mariam; Fadli, Fodil; Meskin, Nader; Petri, Ioan; Rezgui, Yacine; Bensaali, Faycal; Amira, Abbes... more authors ... less authors ( Elsevier , 2022 , Article Review)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 ... -
On the applicability of 2D local binary patterns for identifying electrical appliances in non-intrusive load monitoring
Himeur, Yassine; Alsalemi, Abdullah; Bensaali, Faycal; Amira, Abbes; Sardianos, Christos; Varlamis, Iraklis; Dimitrakopoulos, George... more authors ... less authors ( Springer , 2021 , Conference Paper)In recent years, the automatic identification of electrical devices through their power consumption signals finds a variety of applications in smart home monitoring and non-intrusive load monitoring (NILM). This work ... -
Performance and energy optimization of building automation and management systems: Towards smart sustainable carbon-neutral sports facilities
Elnour, M.; Fadli, Fodil; Himeur, Yassine; Petri, Ioan; Rezgui, Yacine; Meskin, Nader; Ahmad, Ahmad M.... more authors ... less authors ( Elsevier Ltd , 2022 , Other)Sports facilities (SFs) consume massive energy given their unique demand profiles and operation requirements. Intelligent and effective solutions are necessary to tackle the matter of facilities’ sustainability and efficiency. ... -
Real-time personalised energy saving recommendations
Sardianos, Christos; Chronis, Christos; Varlamis, Iraklis; Dimitrakopoulos, George; Himeur, Yassine; Alsalemi, Abdullah; Bensaali, Faycal; Amira, Abbes... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)The increased consumption of energy worldwide has boosted the interest of people for energy-efficient solutions at every level of daily life, from goods production and transportation to the use of household and office ...