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[HTML][HTML] The Use of Real Energy Consumption Data in Characterising Residential Energy Demand with an Inventory of UK Datasets
L Thomson, D Jenkins - Energies, 2023 - mdpi.com
The availability of empirical energy data from Advanced Metering Infrastructure (AMI)—
which includes household smart meters—has enabled residential energy demand to be …
which includes household smart meters—has enabled residential energy demand to be …
[HTML][HTML] Energy disaggregation using elastic matching algorithms
In this article an energy disaggregation architecture using elastic matching algorithms is
presented. The architecture uses a database of reference energy consumption signatures …
presented. The architecture uses a database of reference energy consumption signatures …
An implementation framework overview of non-intrusive load monitoring
Sažetak The implementation of non-intrusive load monitoring has gained significant
attention as a promising solution for disaggregating and identifying individual appliances' …
attention as a promising solution for disaggregating and identifying individual appliances' …
Energy disaggregation using two-stage fusion of binary device detectors
A data-driven methodology to improve the energy disaggregation accuracy during Non-
Intrusive Load Monitoring is proposed. In detail, the method uses a two-stage classification …
Intrusive Load Monitoring is proposed. In detail, the method uses a two-stage classification …
Energy disaggregation from low sampling frequency measurements using multi-layer zero crossing rate
Non-Intrusive Load Monitoring aims to disaggregate the energy consumption measurements
of a smart-meter from household to device level. Most commercial smart-meters measure at …
of a smart-meter from household to device level. Most commercial smart-meters measure at …
Low-frequency energy disaggregation based on active and reactive power signatures
Non-Intrusive Load Monitoring aims to extract the energy consumption of individual
electrical appliances through disaggregation of the total power consumption as measured …
electrical appliances through disaggregation of the total power consumption as measured …
Energy disaggregation using fractional calculus
Non-Intrusive Load Monitoring aims to extract the energy consumption of individual
electrical appliances through disaggregation of the total power load measured by one smart …
electrical appliances through disaggregation of the total power load measured by one smart …
Device and time invariant features for transferable non-intrusive load monitoring
Non-Intrusive Load Monitoring aims to extract the energy consumption of individual
electrical appliances through disaggregation of the total power consumption as measured …
electrical appliances through disaggregation of the total power consumption as measured …
Residential energy consumption prediction using inter-household energy data and socioeconomic information
Previous studies have shown that residential energy consumption prediction accuracy can
be improved when households energy data are fused with residents' socioeconomic …
be improved when households energy data are fused with residents' socioeconomic …
Modelling of electrical appliance signatures for energy disaggregation
PA Schirmer - 2021 - uhra.herts.ac.uk
The rapid development of technology in the electrical sector within the last 20 years has led
to growing electric power needs through the increased number of electrical appliances and …
to growing electric power needs through the increased number of electrical appliances and …