Results 31 to 40 of about 57,754 (187)
Sensors, 2022 Recent research on non-intrusive load monitoring, or load disaggregation, suggests that the performance of algorithms can be affected by factors beyond energy data.
João Góis, Lucas Pereira, Nuno Nunes
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Disaggregating Transform Learning for Non-Intrusive Load Monitoring
IEEE Access, 2018 This paper addresses the problem of energy disaggregation/non-intrusive load monitoring. It introduces a new method based on the transform learning formulation. Several recent techniques, such as discriminative sparse coding, powerlet disaggregation, and
Megha Gaur, Angshul Majumdar
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Energy Disaggregation Using Two-Stage Fusion of Binary Device Detectors
Energies, 2020 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 scheme, with the first stage consisting of classification models processing ...
Pascal A. Schirmer +2 more
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A dynamical systems approach to energy disaggregation [PDF]
52nd IEEE Conference on Decision and Control, 2013 Submitted to 52nd IEEE Conference on Decision and Control (CDC 2013)
Dong, Roy +3 more
openaire +2 more sources
Energies, 2019 Energy management technology of demand-side is a key process of the smart grid that helps achieve a more efficient use of generation assets by reducing the energy demand of users during peak loads.
İsmail Hakkı ÇAVDAR, Vahid FARYAD
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Low-Power Appliance Monitoring Using Factorial Hidden Markov Models [PDF]
, 2013 To optimize the energy utilization, intelligent energy management solutions require appliance-specific consumption statistics. One can obtain such information by deploying smart power outlets on every device of interest, however it incurs extra hardware ...
Gluhak, Alexander +3 more
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GREEND: An Energy Consumption Dataset of Households in Italy and Austria [PDF]
, 2014 Home energy management systems can be used to monitor and optimize consumption and local production from renewable energy. To assess solutions before their deployment, researchers and designers of those systems demand for energy consumption datasets.
D'Alessandro, Salvatore +4 more
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Optimising Parameters in Recurrence Quantification Analysis of Smart Energy Systems [PDF]
, 2018 Recurrence Quantification Analysis (RQA) can help to detect significant events and phase transitions of a dynamical system, but choosing a suitable set of parameters is crucial for the success.
Giasemidis, Georgios +1 more
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MC-NILM: A Multi-Chain Disaggregation Method for NILM
Energies, 2021 Non-intrusive load monitoring (NILM) is an approach that helps residents obtain detailed information about household electricity consumption and has gradually become a research focus in recent years.
Hao Ma +4 more
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EnergiesLoad disaggregation has emerged as an effective tool for enabling smarter energy management in residential and commercial buildings. By providing appliance-level energy consumption estimation from aggregate data, it supports energy efficiency initiatives,
João Góis, Lucas Pereira
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