NUST Institutions Library Catalogue catalog › Details for: Enhancing fault detection and classification in secondary distribution networks: A comparative analysis of bagging, boosting, decision tree and neural network approaches with non-contact magnetic sensors on distribution transformer /

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Enhancing fault detection and classification in secondary distribution networks: A comparative analysis of bagging, boosting, decision tree and neural network approaches with non-contact magnetic sensors on distribution transformer /

TextIslamabad : USPCAS-E, NUST November, 2023Description: xv, 58 p. +CDSubject(s): MS EEP Thesis | MS ThesisDDC classification: 621.3 Summary: TH-546

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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 MAS (Browse shelf)	Available		CAS-ETH0000546

Total holds: 0

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Previous	621.3 MAH High-Speed Fault Detection And Classification Method For Transmission Networks Using Hybridized Low Pass And Kalman Filtering Approach /	621.3 MAH Smart Charging with Hourly Pricing: Reducing Costs and Grid Congestion for Promoting Electric Vehicles in Pakistan /	621.3 MAQ High Speed Protection of Medium Voltage DC Distribution System using Modified Mathematical Morphology /	621.3 MAS Enhancing fault detection and classification in secondary distribution networks: A comparative analysis of bagging, boosting, decision tree and neural network approaches with non-contact magnetic sensors on distribution transformer /	621.3 MEH Doped Metal Oxide based Electron Transport Layer for Perovskite Solar Cells /	621.3 MEM Repurposing Rice Husk Biomass: Activated Porous Carbon for Electrode material of Supercapacitors with Enhanced Energy Storage/	621.3 MIA EV modeling and component sizing using NEDC and WLTP Drive cycles /	Next

TH-546

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