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Non-intrusive load monitoring (NILM) aims at energy consumption and appliance state information retrieval from aggregated consumption measurements, with the help of signal processing and machine learning algorithms. Representation learning with deep
Externí odkaz:
http://arxiv.org/abs/2209.03759
Non-intrusive load monitoring (NILM) is a modern and still expanding technique, helping to understand fundamental energy consumption patterns and appliance characteristics. Appliance event detection is an elementary step in the NILM pipeline. Unfortu
Externí odkaz:
http://arxiv.org/abs/1904.11580
Autor:
Jorde, Daniel Rene
Non-intrusive load monitoring (NILM) techniques deliver various insights from electrical signals, such as the condition of electrical components, without attaching sensors to each device. This thesis contributes new algorithms and data to the stages
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______518::93db20e1b45865d3af8920efc3c59e1e
https://mediatum.ub.tum.de/1576951
https://mediatum.ub.tum.de/1576951
Akademický článek
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Publikováno v:
Scientific Data, Vol 7, Iss 1, Pp 1-13 (2020)
Scientific Data
Scientific Data
Monitoring the internal conditions of a machine is essential to increase its production efficiency and to reduce energy waste. Non-intrusive condition monitoring techniques, such as analysing electrical signals, provide insights by disaggregating a c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::396bf7b629ea1d0bae1a30fe12411ff2
