Results 11 to 20 of about 3,621 (255)

Deep Learning-Based Non-Intrusive Commercial Load Monitoring

open access: yesSensors, 2022
Commercial load is an essential demand-side resource. Monitoring commercial loads helps not only commercial customers understand their energy usage to improve energy efficiency but also helps electric utilities develop demand-side management strategies ...
Mengran Zhou   +4 more
doaj   +3 more sources

Online non-intrusive load monitoring: A review

open access: yesEnergy Nexus
Significant 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   +3 more sources

Path Signatures for Non-Intrusive Load Monitoring [PDF]

open access: yesICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022
Non-intrusive load monitoring (NILM) is the analysis of electricity loads by means of a single supply wire, so avoiding separate monitors on individual appliances. Some approaches to NILM use the V-I trajectory for feature generation but they apply ad-hoc rules to generate the feature vector.
Moore, P   +4 more
openaire   +2 more sources

Non intrusive load monitoring for demand side management

open access: yesEnergy Informatics, 2020
In the context of a pilot project, the Lugaggia Innovation Community (LIC), we address the problem of non-intrusive load monitoring for the purpose of demand side management on low voltage grids in presence of distributed power generation (photovoltaic).
Matteo Salani   +6 more
doaj   +1 more source

Non-Intrusive Load Monitoring Applied to AC Railways

open access: yesEnergies, 2022
Non-intrusive load monitoring takes place in residential and industrial contexts to disaggregate and identify loads connected to a distribution grid. This work studies the applicability and effectiveness for AC railways, considering the highly dynamic ...
Andrea Mariscotti
doaj   +1 more source

An adaptive lightweight seq2subseq model for non‐intrusive load monitoring

open access: yesIET Generation, Transmission & Distribution, 2022
Non‐intrusive load monitoring (NILM) is an important technology for deeply mining consumers' internal electricity consumption information, which can improve the level of awareness of the load and significantly improve the demand‐side management ...
Xiaomei Yang   +4 more
doaj   +1 more source

Instantaneous active and reactive load signature applied in non‐intrusive load monitoring systems

open access: yesIET Smart Grid, 2021
The performance of non‐intrusive load monitoring (NILM) systems heavily depends on the uniqueness of the load signature extracted from the electrical appliances. Different load signatures have been proposed.
Ricardo Brito   +5 more
doaj   +1 more source

Non-Intrusive Load Monitoring Based on Unsupervised Optimization Enhanced Neural Network Deep Learning

open access: yesFrontiers in Energy Research, 2021
Non-intrusive load monitoring has broad application prospects because of its low implementation cost and little interference to energy users, which has been highly expected in the industrial field recently due to the development of learning algorithms ...
Yu Liu   +4 more
doaj   +1 more source

A Comprehensive Survey for Non-Intrusive Load Monitoring

open access: yesTurkish Journal of Electrical Engineering and Computer Sciences, 2022
Energy-saving and efficiency are as important as benefiting from new energy sources to supply increasing energy demand globally. Energy demand and resources for energy saving should be managed effectively. Therefore, electrical loads need to be monitored and controlled.
Tezde, Efe Isa, Yildiz, Eray
openaire   +5 more sources

Targeted Adaptive Non-Intrusive Load Monitoring

open access: yes2024 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 2023
<p>This manuscript proposes a new deep-learning-based NILM (non-intrusive load monitoring) method.</p>
Yu Yang   +4 more
openaire   +1 more source

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