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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 ...
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 ...
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 non-intrusive appliance identification using a novel local power histogramming descriptor with an improved k-nearest neighbors classifier
(
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 ...
An intelligent nonintrusive load monitoring scheme based on 2D phase encoding of power signals
(
John Wiley and Sons Ltd
, 2021 , Article)
Nonintrusive load monitoring (NILM) is the de facto technique for extracting device-level power consumption fingerprints at (almost) no cost from only aggregated mains readings. Specifically, there is no need to install ...