Comparative analysis of machine learning techniques for non-intrusive load monitoring
author
Shabbir, Noman
Vassiljeva, Kristina
Hokmabad, Hossein Nourollahi
Husev, Oleksandr
Petlenkov, Eduard
Belikov, Juri
statement of authorship
Noman Shabbir, Kristina Vassiljeva, Hossein Nourollahi Hokmabad, Oleksandr Husev, Eduard Petlenkov, Juri Belikov
source
Electronics
publisher
MDPI
journal volume number month
vol. 13, 8
year of publication
2024
pages
art. 1420
url
https://doi.org/10.3390/electronics13081420
subject term
energiatarbimine
energiatõhusus
tehisõpe
koormus (elektrotehnika)
sügavõpe
keyword
non-intrusive load monitoring (NILM)
load disaggregation
pattern recognition
machine learning (ML)
deep learning (DL)
ISSN
2079-9292
notes
Special Issue: Security and Privacy Evaluation of Machine Learning in Networks
Bibliogr.: 53 ref
Open Access
Open Access
scientific publication
teaduspublikatsioon
classifier
1.1
Scopus
scopus
TTÜ department
elektroenergeetika ja mehhatroonika instituut
arvutisüsteemide instituut
tarkvarateaduse instituut
Targa linna tippkeskus
language
inglise