Summary
MUHAMMAD ARMOGHAN KHAN received the B.E. degree in Electrical Engineering from the National University of Sciences and Technology, Islamabad, Pakistan and the M.S. degree in Power System and its automation from North China Electrical Power University, Beijing, China. He is currently pursuing the Ph.D. degree in Electrical Engineering with Xi’an Jiaotong University, Xi’an, China. he is also associated with the Department of Electrical Engineering, National University of Sciences and Technology, as a Lecturer. His research interests include power system planning, integration of renewable energy resources, Energy forecasting, planning and operation of smart and electricity market.
Academic Background
MS
((Electric Power System)) North China Electric Power University
September 01, 2012 - June 06, 2014
Honours and Awards
Publications
A dual-level hybrid machine learning model based on RFE-XGBoost and adaptive DBSCAN algorithm for multi-horizon wind energy forecasting
March 03, 2026
Engineering Computations - Pages:32
Determination of Optimal Parametric Distribution and Technical Evaluation of Wind Resource Characteristics for Wind Power Potential at Jhimpir, Pakistan
May 18, 2021
IEEE Access - Volume 9, Pages 70118 -70141
An Adaptive Approach for Multi-National Vehicle License Plate Recognition Using Multi-Level Deep Features and Foreground Polarity Detection Model
March 22, 2020
Applied Sciences-Basel - Volume 10(6), Article Number 2165
Multi-period planning of multi-energy microgrid with multi-type uncertainties using chance constrained information gap decision method
February 15, 2020
Applied Energy - Volume 260, Article Number 114188