Non-intrusive load disaggregation solutions for very low-rate smart meter data
Sign Up to like & getrecommendations! Published in 2020 at "Applied Energy"
DOI: 10.1016/j.apenergy.2020.114949
Abstract: Abstract 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 steadily been shifting from analysis of… read more here.
Keywords: smart meter; load disaggregation; disaggregation; meter ... See more keywords
Non-intrusive load disaggregation model for residential consumers with Fourier series and optimization method applied to White tariff modality in Brazil
Sign Up to like & getrecommendations! Published in 2020 at "Electric Power Systems Research"
DOI: 10.1016/j.epsr.2020.106277
Abstract: Abstract This paper proposes a novel approach to achieve better results for the Non-intrusive load disaggregation model for residential consumers. The proposed methodology considers two steps to face the problem. Firstly, periodical appliances are modelled… read more here.
Keywords: residential consumers; load disaggregation; model residential; disaggregation model ... See more keywords
Multi-label load disaggregation in presence of non-targeted loads
Sign Up to like & getrecommendations! Published in 2021 at "Electric Power Systems Research"
DOI: 10.1016/j.epsr.2021.107435
Abstract: Abstract Non Intrusive Load Monitoring (NILM), also called, load disaggregation aims to infer load level electrical energy consumption from the aggregate power signal. Several challenges are limiting the deployment of NILM systems in residential and… read more here.
Keywords: load disaggregation; disaggregation; power; non targeted ... See more keywords
Non–intrusive load disaggregation of smart home appliances using the IPPO algorithm and FHM model
Sign Up to like & getrecommendations! Published in 2021 at "Sustainable Cities and Society"
DOI: 10.1016/j.scs.2021.102731
Abstract: Abstract At present, producing the lowest power requires prognosticating the load operations in the home automation systems. Several electrical household devices with various performances work in smart homes. These variances are defined as the positions… read more here.
Keywords: load disaggregation; home; non intrusive; electrical device ... See more keywords
Detecting Activities of Daily Living and Routine Behaviours in Dementia Patients Living Alone Using Smart Meter Load Disaggregation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Emerging Topics in Computing"
DOI: 10.1109/tetc.2020.2993177
Abstract: The emergence of an ageing population is a significant public health concern. This has led to an increase in the number of people living with progressive neurodegenerative disorders. The strain this places on services means… read more here.
Keywords: daily living; activities daily; detecting activities; load disaggregation ... See more keywords
Time–Frequency Mask Estimation Based on Deep Neural Network for Flexible Load Disaggregation in Buildings
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Smart Grid"
DOI: 10.1109/tsg.2021.3066547
Abstract: In this paper, a novel mask-based load disaggregation scheme is presented to extract flexible load profiles in buildings. Flexible loads are those that can be adjusted as needed and examples of such loads are heating,… read more here.
Keywords: load disaggregation; disaggregation; mask; deep neural ... See more keywords
eFHMM: Event-Based Factorial Hidden Markov Model for Real-Time Load Disaggregation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Smart Grid"
DOI: 10.1109/tsg.2022.3169398
Abstract: This letter proposes an event-based Factorial Hidden Markov model (eFHMM) instead of time-based FHMM for multiple appliances in a household and integrates the transient signatures into mathematical formula, which is the first of its kind.… read more here.
Keywords: time; based factorial; event based; load disaggregation ... See more keywords
Synergistic Non-Intrusive Load Monitoring: Dual-Model Training and Inference for Improved Load Disaggregation Prediction
Sign Up to like & getrecommendations! Published in 2025 at "Energies"
DOI: 10.3390/en18030608
Abstract: Load disaggregation is the process of identifying an individual appliance’s power demand within aggregate electrical load data. Virtually all recently proposed disaggregation methods are based on neural networks, thanks to their superior performance. Their achievable… read more here.
Keywords: consumption; disaggregation; model; power ... See more keywords
A Fusion Load Disaggregation Method Based on Clustering Algorithm and Support Vector Regression Optimization for Low Sampling Data
Sign Up to like & getrecommendations! Published in 2019 at "Future Internet"
DOI: 10.3390/fi11020051
Abstract: In order to achieve more efficient energy consumption, it is crucial that accurate detailed information is given on how power is consumed. Electricity details benefit both market utilities and also power consumers. Non-intrusive load monitoring… read more here.
Keywords: disaggregation; vector regression; support vector; load disaggregation ... See more keywords