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Detection of Appliance-Level Abnormal Energy Consumption in Buildings Using Autoencoders and Micro-moments
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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 ...
The Emergence of Hybrid Edge-Cloud Computing for Energy Efficiency in Buildings
(
Springer Science and Business Media Deutschland GmbH
, 2022 , Conference Paper)
Edge computing is attracting an increasing attention presently even though most of the building energy efficiency solutions are still using cloud computing for gathering, pre-processing and analyzing energy data. However, ...
An innovative edge-based Internet of Energy solution for promoting energy saving in buildings
(
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 ...
Using big data and federated learning for generating energy efficiency recommendations
(
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 ...
Endorsing Energy Efficiency Through Accurate Appliance-Level Power Monitoring, Automation and Data Visualization
(
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 ...
Intelligent Edge-Based Recommender System for Internet of Energy Applications
(
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 ...
Smart fusion of sensor data and human feedback for personalized energy-saving recommendations
(
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
(
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 ...
IoT-based mock oxygenator for extracorporeal membrane oxygenation simulator
(
John Wiley and Sons Inc
, 2022 , Article)
Background: Training is an essential aspect of providing high-quality treatment and ensuring patient safety in any medical practice. Because extracorporeal membrane oxygenation (ECMO) is a complicated operation with various ...
Blockchain-based recommender systems: Applications, challenges and future opportunities
(
Elsevier
, 2022 , Article Review)
Recommender systems have been widely used in different application domains including energy-preservation, e-commerce, healthcare, social media, etc. Such applications require the analysis and mining of massive amounts of ...