G. M. Shafiullah

Orcid: 0000-0002-2211-184X

According to our database1, G. M. Shafiullah authored at least 17 papers between 2008 and 2022.

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

Timeline

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Bibliography

2022
An Incentivized and Optimized Dynamic Mechanism for Demand Response for Managing Voltage in Distribution Networks.
IEEE Access, 2022

2021
Coupling Adjacent Microgrids and Cluster Formation Under a Look-Ahead Approach Reassuring Optimal Operation and Satisfactory Voltage and Frequency.
IEEE Access, 2021

Prospects of Hybrid Renewable Energy-Based Power System: A Case Study, Post Analysis of Chipendeke Micro-Hydro, Zimbabwe.
IEEE Access, 2021

2020
Power Enhancement With Grid Stabilization of Renewable Energy-Based Generation System Using UPQC-FLC-EVA Technique.
IEEE Access, 2020

Dynamic Frequency and Overload Management in Autonomous Coupled Microgrids for Self-Healing and Resiliency Improvement.
IEEE Access, 2020

A Comprehensive Review on Renewable Energy Development, Challenges, and Policies of Leading Indian States With an International Perspective.
IEEE Access, 2020

2019
A Multilayer and Event-Triggered Voltage and Frequency Management Technique for Microgrid's Central Controller Considering Operational and Sustainability Aspects.
IEEE Trans. Smart Grid, 2019

Replacing Flat Rate Feed-In Tariffs for Rooftop Photovoltaic Systems With a Dynamic One to Consider Technical, Environmental, Social, and Geographical Factors.
IEEE Trans. Ind. Informatics, 2019

Sensitivity of Prediction Error on the Performance of a Preventive Controller for Microgrids.
Proceedings of the IEEE International Conference on Industrial Technology, 2019

2015
Analysis of harmonics with renewable energy integration into the distribution network.
Proceedings of the 2015 IEEE Innovative Smart Grid Technologies, 2015

Feasibility study of photovoltaic (PV)-diesel hybrid power systems for remote networks.
Proceedings of the 2015 IEEE Innovative Smart Grid Technologies, 2015

2014
A time series ensemble method to predict wind power.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence Applications in Smart Grid, 2014

2013
Energy-Efficient Wireless MAC Protocols for Railway Monitoring Applications.
IEEE Trans. Intell. Transp. Syst., 2013

2010
Predicting Vertical Acceleration of Railway Wagons Using Regression Algorithms.
IEEE Trans. Intell. Transp. Syst., 2010

Rule-based classification approach for railway wagon health monitoring.
Proceedings of the International Joint Conference on Neural Networks, 2010

2008
Monitoring Vertical Acceleration of Railway Wagon using Machine Learning Technique.
Proceedings of the 2008 International Conference on Artificial Intelligence, 2008

Forecasting Vertical Acceleration Railway Wagons - A comparative study.
Proceedings of The 2008 International Conference on Data Mining, 2008


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