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Št. zadetkov: 3
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;
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;
Leto: 2024 Vir: Fakulteta za elektrotehniko, računalništvo in informatiko (UM FERI)
Investigating winter temperatures in sweden and norway: potential relationships with climatic indices and effects on electrical power and energy systems
Younes Mohammadi, Aleksey Palstev, Boštjan Polajžer, Seyed Mahdi Miraftabzadeh, Davood Khodadad
Izvirni znanstveni članek
Oznake: zimske temperature;antlantski ocean;električni sistemi;energetski sistemi;winter temperatures;biogas;Atlantic Meridional Overturning Circulation;AMOC;weaking;NAO;North Atlantic Oscillation;SSA;Singular Spectrum Analysis;electrical power and energy systems;
This paper presents a comprehensive study of winter temperatures in Norway and northern Sweden, covering a period of 50 to 70 years. The analysis utilizes Singular Spectrum Analysis (SSA) to investigate temperature trends at six selected locations. The results demonstrate an overall long-term rise i ...
Leto: 2023 Vir: Fakulteta za elektrotehniko, računalništvo in informatiko (UM FERI)
Št. zadetkov: 3
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