Prediction of grid stability using deep learning

By: Material type: TextTextPublication details: Islamabad (Unpublished) 2023Description: xiii, 51 p. : ill. ; 30 cm. +CDSubject(s): DDC classification:
  • 621.3 WAS
Dissertation note: Thesis (M.S.)--Riphah International University, 2023
List(s) this item appears in: FEAS & DBS Thesis I-14 Campus
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Thesis Thesis Main Campus 621.3 WAS (Browse shelf(Opens below)) 1 NOT for LOAN 102090

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

Includes bibliographical references.

Thesis supervisor: Dr. Zohaib Mushtaq

Thesis (M.S.)--Riphah International University, 2023

English

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