Browsing Architecture & Urban Planning by Author "Himeur, Yassine"
Now showing items 1-9 of 9
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AI-big data analytics for building automation and management systems: a survey, actual challenges and future perspectives
Himeur, Yassine; Elnour, Mariam; Fadli, Fodil; Meskin, Nader; Petri, Ioan; Rezgui, Yacine; Bensaali, Faycal; Amira, Abbes... more authors ... less authors ( Springer Nature , 2022 , Article)In theory, building automation and management systems (BAMSs) can provide all the components and functionalities required for analyzing and operating buildings. However, in reality, these systems can only ensure the control ... -
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 ... -
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 ... -
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 ... -
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. ... -
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 ... -
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 ...