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Smart power consumption abnormality detection in buildings using micromoments and improved K-nearest neighbors
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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 ...
The emergence of explainability of intelligent systems: Delivering explainable and personalized recommendations for energy efficiency
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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 ...
An innovative edge-based Internet of Energy solution for promoting energy saving in buildings
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Elsevier
, 2022 , Article)
Due to the ubiquity and maturity of Artificial Intelligence (AI), it became an essential tool in the development real-time Internet of energy (IoE) solutions. Also, since cloud platforms are not being the first implementation ...
Smart Sensing and End-Users' Behavioral Change in Residential Buildings: An Edge-Based Internet of Energy Perspective
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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 ...
Using big data and federated learning for generating energy efficiency recommendations
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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 ...
Data fusion strategies for energy efficiency in buildings: Overview, challenges and novel orientations
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Elsevier
, 2020 , Article)
Recently, tremendous interest has been devoted to develop data fusion strategies for energy efficiency in buildings, where various kinds of information can be processed. However, applying the appropriate data fusion strategy ...
Intelligent Edge-Based Recommender System for Internet of Energy Applications
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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 ...
A Micro-Moment System for Domestic Energy Efficiency Analysis
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Domestic user behavior is a crucial factor guiding overall power consumption, necessitating the development of systems that analyze and help shape energy-efficient behavior. Therefore, the most important step in the process ...
Smart fusion of sensor data and human feedback for personalized energy-saving recommendations
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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 ...
Recent trends of smart nonintrusive load monitoring in buildings: A review, open challenges, and future directions
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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 ...