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Št. zadetkov: 2
Quantifying power system frequency quality and extracting typical patterns within short time scales below one hour
Younes Mohammadi, Boštjan Polajžer, Roberto Chouhy Leborgne, Davood Khodadad
Izvirni znanstveni članek
Oznake: močnostni sistemi;statistika;strojno učenje;energetski sistemi;quantifying power system frequency quality;statistical indices;pattern extracting;machine learning;short time scales;renewable energy sources;
This paper addresses the lack of consideration of short time scales, below one hour, such as sub-15-min and sub1-hr, in grid codes for frequency quality analysis. These time scales are becoming increasingly important due to the flexible market-based operation of power systems as well as the rising ...
Leto: 2024 Vir: Fakulteta za elektrotehniko, računalništvo in informatiko (UM FERI)
Most influential feature form for supervised learning in voltage sag source localization
Younes Mohammadi, Boštjan Polajžer, Roberto Chouhy Leborgne, Davood Khodadad
Izvirni znanstveni članek
Oznake: močnostni sistemi;električna napetost;nadzorovano učenje;nenadzorovano učenje;voltage sag (dip);source localization;supervised and unsupervised learning;convolutional neural network;time-sample-based features;
The paper investigates the application of machine learning (ML) for voltage sag source localization (VSSL) in electrical power systems. To overcome feature-selection challenges for traditional ML methods and provide more meaningful sequential features for deep learning methods, the paper proposes th ...
Leto: 2024 Vir: Fakulteta za elektrotehniko, računalništvo in informatiko (UM FERI)
Št. zadetkov: 2
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