A deep learning-based approach for prediction of load in PESCO smart grids dataset
- Islamabad (unpublished) 2024
- xv, 52 p. : ill. ; 30 cm. +CD
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
Electrical Engineering--Artificial neural networks --Time series analysis--Vanishing gradients --Models--DBS--FEAS