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Non-intrusive load monitoring: A review
PA Schirmer, I Mporas - IEEE Transactions on Smart Grid, 2022 - ieeexplore.ieee.org
The rapid development of technology in the electrical energy sector within the last 20 years
has led to growing electric power needs through the increased number of electrical …
has led to growing electric power needs through the increased number of electrical …
[HTML][HTML] Aggregated demand-side energy flexibility: A comprehensive review on characterization, forecasting and market prospects
Existing grids have been designed with traditional large centralized generation in mind;
however, with the ever-increasing utilization of renewable distributed energy resources, the …
however, with the ever-increasing utilization of renewable distributed energy resources, the …
Plug-Mate: An IoT-based occupancy-driven plug load management system in smart buildings
Plug load management systems are touted as promising solutions to reduce the rising
energy consumption of plug loads in commercial buildings through different load monitoring …
energy consumption of plug loads in commercial buildings through different load monitoring …
IoT based approach for load monitoring and activity recognition in smart homes
Appliance load monitoring in smart homes has been gaining importance due to its
significant advantages in achieving an energy efficient smart grid. The methods to manage …
significant advantages in achieving an energy efficient smart grid. The methods to manage …
Application of load monitoring in appliances' energy management–A review
Energy monitoring is one of the important aspects of the energy management, as such there
is a need to monitor the power consumption of a premises before planning some of the …
is a need to monitor the power consumption of a premises before planning some of the …
Smart home energy management system–a review
AQH Badar, A Anvari-Moghaddam - Advances in Building Energy …, 2022 - Taylor & Francis
Smart grid is providing new opportunities and techniques for supplying high energy demand
of the ever growing energy industry. One-third of the total energy demand comes from the …
of the ever growing energy industry. One-third of the total energy demand comes from the …
A survey on machine learning-based performance improvement of wireless networks: PHY, MAC and network layer
This paper presents a systematic and comprehensive survey that reviews the latest research
efforts focused on machine learning (ML) based performance improvement of wireless …
efforts focused on machine learning (ML) based performance improvement of wireless …
LSTM and edge computing for big data feature recognition of industrial electrical equipment
With the rapid development of Industrial Internet of Things, the category and quantity of
industrial equipment will increase gradually. For centralized monitoring and management of …
industrial equipment will increase gradually. For centralized monitoring and management of …
[HTML][HTML] Design and implementation of an Internet-of-Things-enabled smart meter and smart plug for home-energy-management system
IB Dhaou - Electronics, 2023 - mdpi.com
The demand response program is an important feature of the smart grid. It attempts to
reduce peak demand, improve the smart grid efficiency, and ensure system reliability …
reduce peak demand, improve the smart grid efficiency, and ensure system reliability …
Sequence to point learning based on bidirectional dilated residual network for non-intrusive load monitoring
Abstract Non-Intrusive Load Monitoring (NILM) or Energy Disaggregation, seeks to save
energy by decomposing corresponding appliances power reading from an aggregate power …
energy by decomposing corresponding appliances power reading from an aggregate power …