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State of Charge and State of Health Estimation Using Pseudo Random Binary Sequences and Machine Learning /

TextPublisher: USPCAS-E, NUST, Islamabad : 2021Description: 61 pSubject(s): MS-EEP Thesis | MS ThesisDDC classification: 621.31 Summary: TH-305

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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)	621.31 AFN (Browse shelf)	Available		CAS-ETH0000305

Total holds: 0

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Previous	621.31 ABD Is Renewable Energy A Complete Solution To The Environmental Problem? A Comprehensive Analysis Of Pakistan Case Study /	621.31 ABD An Intelligent Energy Management System with an Interactive Local Power Market for a Grid-tied Community of Heterogenous Houses /	621.31 ADV Advances in electric power and energy systems :	621.31 AFN State of Charge and State of Health Estimation Using Pseudo Random Binary Sequences and Machine Learning /	621.31 AFS Determination of optimal online degradation rate computation model for PV systems /	621.31 AFZ Electricity theft detection and quantification at utility transformers interfaced to feeder station /	621.31 AFZ Techno-Economic and Environmental Assessment of Solar-Powered Electric Vehicle Charging Stations for University Campus under various Planning Horizons /	Next

TH-305

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