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Robust event-based non-intrusive appliance recognition using multi-scale wavelet packet tree and ensemble bagging tree
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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 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 ...
A Novel Approach for Detecting Anomalous Energy Consumption Based on Micro-Moments and Deep Neural Networks
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Springer
, 2020 , Article)
Nowadays, analyzing, detecting, and visualizing abnormal power consumption behavior of householders are among the principal challenges in identifying ways to reduce power consumption. This paper introduces a new solution ...
Interactive visual study for residential energy consumption data
(
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 ...
Effective non-intrusive load monitoring of buildings based on a novel multi-descriptor fusion with dimensionality reduction
(
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 ...
ECG Signal Reconstruction on the IoT-Gateway and Efficacy of Compressive Sensing under Real-Time Constraints
(
Institute of Electrical and Electronics Engineers Inc.
, 2018 , Article)
Remote health monitoring is becoming indispensable, though, Internet of Things (IoTs)-based solutions have many implementation challenges, including energy consumption at the sensing node, and delay and instability due to ...
An intelligent nonintrusive load monitoring scheme based on 2D phase encoding of power signals
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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 ...
A novel gateway-based solution for remote elderly monitoring
(
Elsevier
, 2020 , Article)
Internet of Things (IoT) technologies have been applied to various fields such as manufacturing, automobile industry and healthcare. IoT-based healthcare has a significant impact on real-time remote monitoring of patients' ...