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A deep learning-based approach for prediction of load in PESCO smart grids dataset

By:

Ahtesham Khizer (26648)

Material type: Text

TextPublication details: Islamabad (unpublished) 2024Description: xv, 52 p. : ill. ; 30 cm. +CDSubject(s):

Electrical Engineering -- Artificial neural networks -- Time series analysis -- Vanishing gradients -- Models -- DBS -- FEAS

DDC classification:

621.31 AHT

Dissertation note: Thesis (MS)--Riphah International University, 2024

List(s) this item appears in: FEAS & DBS Thesis I-14 Campus

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Holdings
Item type	Current library	Call number	Copy number	Status	Date due	Barcode
Thesis	Main Campus	621.31 AHT (Browse shelf(Opens below))	1	NOT for LOAN		102490

Submitted in fulfillment of the requirements for the degree of Master of Sciences in Electrical Engineering to the Faculty of Engineering and Applied Sciences

Includes bibliographical references

Thesis supervisor: Dr. Muhammad Akmal

Thesis (MS)--Riphah International University, 2024

English

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