Adaptive Deep Belief Networks and LightGBM-Based Hybrid Fault Diagnostics for SCADA-Managed PV Systems : A Real-World Case Study
author
Kull, Karl
Khan, Muhammad Amir
Asad, Bilal
Naseer, Muhammad Usman
Kallaste, Ants
Vaimann, Toomas
statement of authorship
Kull, Karl; Khan, Muhammad Amir; Asad, Bilal; Naseer, Muhammad Usman; Kallaste, Ants; Vaimann, Toomas
source
Electronics
special issue
Advanced Condition Monitoring and Fault Analysis in Industrial Electronics
publisher
MDPI
journal volume number month
vol. 14, 18
year of publication
2025
pages
art. 3649
url
https://doi.org/10.3390/electronics14183649
subject term
tehisintellekt
tehisnärvivõrgud
rikked
detektsioon
sügavõpe
fotogalvaanika
keyword
artificial intelligence
back propagation neural network
Bayesian optimization
deep learning
hybrid fault detection
I–V curves
machine learning
maximum power point tracking
photovoltaic fault detection algorithms
photovoltaic systems
PV fault classification
SCADA
ISSN
2079-9292
Open Access
Open Access
scientific publication
teaduspublikatsioon
classifier
1.1
TalTech department
Elektroenergeetika ja mehhatroonika instituut
Department of Electrical Power Engineering and Mechatronics
language
English
Inglise