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Now showing items 11-20 of 46
On the applicability of 2D local binary patterns for identifying electrical appliances in non-intrusive load monitoring
(
Springer
, 2021 , Conference Paper)
In recent years, the automatic identification of electrical devices through their power consumption signals finds a variety of applications in smart home monitoring and non-intrusive load monitoring (NILM). This work ...
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 ...
Latest trends of security and privacy in recommender systems: A comprehensive review and future perspectives
(
Elsevier
, 2022 , Article Review)
With the widespread use of Internet of things (IoT), mobile phones, connected devices and artificial intelligence (AI), recommender systems (RSs) have become a booming technology because of their capability to analyze big ...
Appliance-Level Monitoring with Micro-Moment Smart Plugs
(
Springer Science and Business Media Deutschland GmbH
, 2021 , Conference Paper)
Human population are striving against energy-related issues that not only affects society and the development of the world, but also causes global warming. A variety of broad approaches have been developed by both industry ...
Appliance identification using a histogram post-processing of 2D local binary patterns for smart grid applications
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Identifying domestic appliances in the smart grid leads to a better power usage management and further helps in detecting appliance-level abnormalities. An efficient identification can be achieved only if a robust feature ...
A Micro-Moment System for Domestic Energy Efficiency Analysis
(
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
(
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 ...
Efficient multi-descriptor fusion for non-intrusive appliance recognition
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Consciousness about power consumption at the appliance level can assist user in promoting energy efficiency in households. In this paper, a superior non-intrusive appliance recognition method that can provide particular ...
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 ...