Results 21 to 30 of about 7,383 (190)
Journal of Modern Power Systems and Clean Energy, 2022 This paper investigates the intelligent load monitoring problem with applications to practical energy management scenarios in smart grids. As one of the critical components for paving the way to smart grids' success, an intelligent and feasible ...
Zejian Zhou +4 more
doaj +1 more source
Metadata for Energy Disaggregation [PDF]
, 2014 Energy disaggregation is the process of estimating the energy consumed by individual electrical appliances given only a time series of the whole-home power demand.
Kelly, Jack, Knottenbelt, William
core +3 more sources
Performance-Aware NILM Model Optimization for Edge Deployment
IEEE Transactions on Green Communications and Networking, 2023 Non-Intrusive Load Monitoring (NILM) describes the extraction of the individual consumption pattern of a domestic appliance from the aggregated household consumption. Nowadays, the NILM research focus is shifted towards practical NILM applications, such as edge deployment, to accelerate the transition towards a greener energy future.
Stavros Sykiotis +6 more
openaire +2 more sources
Statistical and Electrical Features Evaluation for Electrical Appliances Energy Disaggregation [PDF]
, 2019 In this paper we evaluate several well-known and widely used machine learning algorithms for regression in the energy disaggregation task. Specifically, the Non-Intrusive Load Monitoring approach was considered and the K-Nearest-Neighbours, Support ...
Harell +3 more
core +2 more sources
Sensors, 2022 Supporting the elderly to maintain their independence, safety, and well-being through Active Assisted Living (AAL) technologies, is gaining increasing momentum.
Hafsa Bousbiat +2 more
doaj +1 more source
Enhancing neural non-intrusive load monitoring with generative adversarial networks
Energy Informatics, 2018 The application of Deep Learning methodologies to Non-Intrusive Load Monitoring (NILM) gave rise to a new family of Neural NILM approaches which increasingly outperform traditional NILM approaches.
Kaibin Bao +3 more
doaj +1 more source
Cepstrum analysis applied on event detection in NILM [PDF]
, 2016 De Baets, Leen +3 more
core +2 more sources
Energies, 2022 Heat, ventilation, and air conditioning (HVAC) systems are some of the most energy-intensive equipment in buildings and their faulty or inefficient operation can significantly increase energy waste.
Amir Rafati +2 more
doaj +1 more source
Load Hiding of Household's Power Demand [PDF]
, 2014 With the development and introduction of smart metering, the energy information for costumers will change from infrequent manual meter readings to fine-grained energy consumption data.
Egarter, Dominik +2 more
core +1 more source
Sensor-Aided NILM with Gaussian Mixture Models
2023 31st European Signal Processing Conference (EUSIPCO), 2023 Energy disaggregation, also known as non-intrusive load monitoring (NILM), is the process of analyzing energy consumption in a building and identifying individual appliancelevel energy usage. This approach can provide valuable insights into energy consumption patterns and help reduce overall energy usage, costs, and carbon emissions.
Balti, Nidhal +2 more
openaire +1 more source