Energy management using non-intrusive load monitoring techniques–State-of-the-art and future research directions
R Gopinath, M Kumar, CPC Joshua… - Sustainable Cities and …, 2020 - Elsevier
In recent years, the development of smart sustainable cities has become the primary focus
among urban planners and policy makers to make responsible use of resources, conserve …
among urban planners and policy makers to make responsible use of resources, conserve …
[HTML][HTML] Energy management in residential microgrid based on non-intrusive load monitoring and internet of things
Recently, various strategies for energy management have been proposed to improve energy
efficiency in smart grids. One key aspect of this is the use of microgrids. To effectively …
efficiency in smart grids. One key aspect of this is the use of microgrids. To effectively …
Transferability of neural network approaches for low-rate energy disaggregation
Energy disaggregation of appliances using non-intrusive load monitoring (NILM) represents
a set of signal and information processing methods used for appliance-level information …
a set of signal and information processing methods used for appliance-level information …
Improving event-based non-intrusive load monitoring using graph signal processing
Large-scale smart energy metering deployment worldwide and integration of smart meters
within the smart grid will enable two-way communication between the consumer and energy …
within the smart grid will enable two-way communication between the consumer and energy …
Non-intrusive load disaggregation solutions for very low-rate smart meter data
With the active large-scale roll-out of smart metering worldwide, details about the type of
smart meter data that will be available for analysis are emerging. Consequently, focus has …
smart meter data that will be available for analysis are emerging. Consequently, focus has …
Comparative study on load monitoring approaches
LW Tokam, SS Ouro-Djobo - Applied Sciences, 2023 - mdpi.com
Without an appropriate monitoring system, the condition/state of electrical
appliances/devices in operation in households cannot be fully assessed, resulting in …
appliances/devices in operation in households cannot be fully assessed, resulting in …
[图书][B] Microgrid planning and design: a concise guide
H Farhangi, G Joós - 2019 - books.google.com
A practical guide to microgrid systems architecture, design topologies, control strategies and
integration approaches Microgrid Planning and Design offers a detailed and authoritative …
integration approaches Microgrid Planning and Design offers a detailed and authoritative …
Privacy-protecting energy management unit through model-distribution predictive control
The roll-out of smart meters in electricity networks introduces risks for consumer privacy due
to increased measurement frequency and granularity. Through various non-intrusive load …
to increased measurement frequency and granularity. Through various non-intrusive load …
Data mining of smart meters for load category based disaggregation of residential power consumption
Abstract Non-Intrusive Load Monitoring (NILM) techniques have been leveraged by new
instrument and machine learning algorithms to provide customers the breakdown of their …
instrument and machine learning algorithms to provide customers the breakdown of their …
Power disaggregation of combined HVAC loads using supervised machine learning algorithms
Power disaggregation algorithms are used to decompose building level power consumption
data into individual equipment level power information. In order to ensure energy efficient …
data into individual equipment level power information. In order to ensure energy efficient …