Results 81 to 90 of about 2,135 (206)
Anomaly‐detection‐based learning for real‐time data processing in non‐intrusive load monitoring
Energy Conversion and Economics, Volume 5, Issue 3, Page 146-155, June 2024.Abstract A power system can be regarded as a cyber‐physical system with physical power networks and a cyber system based on increasing engagement with information communication technologies for smart grid functionalities for more efficient operations and control.
Zhebin Chen, Zhao Yang Dong, Yan Xu
wiley +1 more source
Energy Disaggregation for Real-Time Building Flexibility Detection [PDF]
, 2016 Energy is a limited resource which has to be managed wisely, taking into account both supply-demand matching and capacity constraints in the distribution grid.
Gibescu, Madeleine +2 more
core +4 more sources
A versatile, low-cost monitoring device suitable for non-intrusive load monitoring research purposes
Measurement: SensorsEnergy systems monitoring is a key factor in reducing global energy consumption. Although intrusive approaches can be adopted, Non-Intrusive Load Monitoring (NILM), which targets estimation of individual-appliance consumption from aggregated electricity ...
Sarantis Kotsilitis +2 more
doaj +1 more source
Gaussian process regression‐based load forecasting model
IET Generation, Transmission &Distribution, Volume 18, Issue 5, Page 899-910, March 2024.In this paper, Gaussian Process Regression (GPR)‐based models are proposed to solve the load forecasting (LF). The proposed model provides an hourly and monthly load forecast for an Australian city and four Indian cities in the Maharashtra state. Abstract In this paper, Gaussian Process Regression (GPR)‐based models which use the Bayesian approach to ...
Anamika Yadav +4 more
wiley +1 more source
Integration of Legacy Appliances into Home Energy Management Systems [PDF]
, 2014 The progressive installation of renewable energy sources requires the coordination of energy consuming devices. At consumer level, this coordination can be done by a home energy management system (HEMS).
Egarter, Dominik +3 more
core
, 2014 Non-intrusive load monitoring (NILM) or energy disaggregation, aims to disaggregate a household's electricity consumption into constituent appliances. More than three decades of work in NILM has resulted in the development of several novel algorithmic ...
Batra, Nipun +4 more
core +1 more source
Online non-intrusive load monitoring: A review
Energy NexusSignificant progress has been achieved in managing energy consumption in the residential sector in recent years. However, the industrial sector requires better coverage due to its substantial challenges.
David Cruz-Rangel +2 more
doaj +1 more source
Low cost framework for non-intrusive load monitoring (NILM) to monitor human behavioral pattern [PDF]
, 2018 "5 December 2013." ; "M.S. Electrical Engineering, University of Missouri--Columbia." ; Advisor: Dr. David Heise. ; Non-Intrusive Load Monitoring (NILM) is a technique that measures and samples voltage and current from an electrical power source in order to infer what devices or appliances are being used at a given time.
openaire +2 more sources
Post-processing for event-based non-intrusive load monitoring [PDF]
, 2018 Most current non-intrusive load monitoring (NILM) algorithms disaggregate one appliance at a time, remove the appliance contribution towards the total load, and then move on to the next appliance.
He, Kanghang +3 more
core
Perfednilm: a practical personalized federated learning-based non-intrusive load monitoring
Industrial Artificial IntelligenceNon-Intrusive Load Monitoring (NILM) is a valuable technique for breaking down overall power consumption into the energy usage of individual appliances. Understanding power usage patterns through NILM plays an important role in reducing energy costs and ...
Zibin Pan +4 more
doaj +1 more source