Mohd Wazir Mustafa

Orcid: 0000-0002-9960-5944

Affiliations:
  • University of Technology Malaysia (UTM), Johor Bahru, Malaysia


According to our database1, Mohd Wazir Mustafa authored at least 13 papers between 2011 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2021
A Novel Feature-Engineered-NGBoost Machine-Learning Framework for Fraud Detection in Electric Power Consumption Data.
Sensors, 2021

2020
A Graph-Theoretic Approach to Capacity Benefit Margin Calculation for Large Multiarea Power Systems.
IEEE Syst. J., 2020

Swarm Intelligence-Based Optimization Techniques for Dynamic Response and Power Quality Enhancement of AC Microgrids: A Comprehensive Review.
IEEE Access, 2020

2018
Minimizing Harmonic Distortion Impact at Distribution System with Considering Large-Scale EV Load Behaviour Using Modified Lightning Search Algorithm and Pareto-Fuzzy Approach.
Complex., 2018

2016
Evolved intelligent clustered bee colony for voltage stability prediction on power transmission system.
Soft Comput., 2016

2015
New algorithm for detection and fault classification on parallel transmission line using DWT and BPNN based on Clarke's transformation.
Neurocomputing, 2015

Optimal multiple distributed generation output through rank evolutionary particle swarm optimization.
Neurocomputing, 2015

Sugeno fuzzy PID tuning, by genetic-neutral for AVR in electrical power generation.
Appl. Soft Comput., 2015

2014
Global Particle Swarm Optimization for High Dimension Numerical Functions Analysis.
J. Appl. Math., 2014

A novel design of high-sensitive fuzzy PID controller.
Appl. Soft Comput., 2014

2012
Preference Comparison of AI Power Tracing Techniques for Deregulated Power Markets.
Adv. Artif. Intell., 2012

2011
An ANFIS Approach for Real Power Transfer Allocation.
J. Appl. Math., 2011

Transient stability evaluation of electrical power system using generalized regression neural networks.
Appl. Soft Comput., 2011


  Loading...