Device Classification for NILM using FIT-PS compared with Standard Signal Forms
Author: | Daniel Weißhaar, Pirmin HeldORCiDGND, Steffen Mauch, Dirk BenyoucefORCiDGND |
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DOI: | https://doi.org/10.1109/CANDO-EPE.2018.8601150 |
ISBN: | 978-1-7281-1154-4 |
Parent Title (English): | IEEE CANDO-EPE 2018 proceedings : IEEE International Conference and Workshop in Óbuda on Electrical and Power Engineering : November 20-21, 2018, Budapest, Hungary |
Document Type: | Conference Proceeding |
Language: | English |
Year of Completion: | 2018 |
Release Date: | 2019/01/15 |
Tag: | Classification; Frequency independent transformation of periodic signals; Non-intrusive load monitoring; Super- vised learning; Waveform |
First Page: | 000079 |
Last Page: | 000084 |
Open-Access-Status: | Closed Access |
Licence (German): | Urheberrechtlich geschützt |