A survey of smart home energy conservation techniques
Smart homes are equipped with easy-to-interact interfaces, providing a more comfortable
living environment and less energy consumption. There are currently satisfactory …
living environment and less energy consumption. There are currently satisfactory …
Plaid: a public dataset of high-resoultion electrical appliance measurements for load identification research: demo abstract
We introduce the Plug-Level Appliance Identification Dataset (PLAID), a public and crowd-
sourced dataset for load identification research consisting of short voltage and current …
sourced dataset for load identification research consisting of short voltage and current …
A survey on intrusive load monitoring for appliance recognition
Electricity load monitoring of appliances has become an important task considering the
recent economic and ecological trends. In this game, machine learning has an important …
recent economic and ecological trends. In this game, machine learning has an important …
Nonintrusive appliance load monitoring: An overview, laboratory test results and research directions
Nonintrusive appliance load monitoring (NIALM) allows disaggregation of total electricity
consumption into particular appliances in domestic or industrial environments. NIALM …
consumption into particular appliances in domestic or industrial environments. NIALM …
A feasibility study of automated plug-load identification from high-frequency measurements
Plug-meters benefit many grid and building-level energy management applications like
automated load control and load scheduling. However, installing and maintaining large …
automated load control and load scheduling. However, installing and maintaining large …
Appliance consumption signature database and recognition test protocols
We report on the creation of a database of appliance consumption signatures and two test
protocols to be used for appliance recognition tasks. By means of plug-based low-end …
protocols to be used for appliance recognition tasks. By means of plug-based low-end …
A comprehensive feature study for appliance recognition on high frequency energy data
Awareness about the energy consumption of appliances can help to save energy in
households. Non-intrusive Load Monitoring (NILM) is a feasible approach to provide …
households. Non-intrusive Load Monitoring (NILM) is a feasible approach to provide …
An efficient, scalable time-frequency method for tracking energy usage of domestic appliances using a two-step classification algorithm
Load monitoring is the practice of measuring electrical signals in a domestic environment in
order to identify which electrical appliances are consuming power. One reason for …
order to identify which electrical appliances are consuming power. One reason for …
Non-intrusive identification of loads by random forest and fireworks optimization
PRZ Taveira, CHV De Moraes… - IEEE Access, 2020 - ieeexplore.ieee.org
The control of expenses related to electricity has been showing significant growth, especially
in residential environments. Monitoring of electrical loads that are turning on and off from …
in residential environments. Monitoring of electrical loads that are turning on and off from …
[HTML][HTML] Context-based energy disaggregation in smart homes
In this paper, we address the problem of energy conservation and optimization in residential
environments by providing users with useful information to solicit a change in consumption …
environments by providing users with useful information to solicit a change in consumption …