NUST Institutions Library Catalogue catalog › Details for: Monitoring Transient Stability in Electric Power Systems using a Hybrid Model of Convolutional Neural Network and Random Forest /

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Monitoring Transient Stability in Electric Power Systems using a Hybrid Model of Convolutional Neural Network and Random Forest /

TextPublisher: USPCAS-E, NUST, Islamabad : 2022Description: ix, 57 pSubject(s): MS-EEP Thesis MS ThesisDDC classification: 621.3 Summary: TH-447

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Item type	Current location	Home library	Call number	Status	Date due	Barcode	Item holds
Thesis	US-Pakistan Center for Advanced Studies in Energy (USPCAS-E)	US-Pakistan Center for Advanced Studies in Energy (USPCAS-E)	621.3 HAF (Browse shelf)	Available		CAS-ETH0000447

Total holds: 0

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Previous	621.3 ,FLE Three-phase electrical power /	621.3 GHA Saliency Ratio Based Torque Enhancement of Switched Reluctance Motor for EV Application /	621.3 HAB Development of Non-noble Metal Based Cost Effective Catalytic Converter for Engine Exhaust /	621.3 HAF Monitoring Transient Stability in Electric Power Systems using a Hybrid Model of Convolutional Neural Network and Random Forest /	621.3 HAI Artificial neural network based maximum power point tracking for solar photovoltaics /	621.3 HAI Design of Wireless/Inductive Charging System for Electric Vehicles /	621.3 HAM Electrical engineering :	Next

TH-447

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