About
R. Senthil Kumar received the Bachelor’s degree in
Electrical and Electronics Engineering from Anna University,
India in 2011. He got the master’s degree in Power Electronics
and Drives in 2013 from anna university, Chennai, India. Also,
He obtained his Ph.D.degree in 2021 from Anna University,
Chennai, India. He is presently working as Assistant Professor
at School of Electrical Engineering, Vellore Institute of
Technology (VIT), Chennai, Tamil Nadu, India. He published
46 research articles in various reputed international journal
publications including Elsevier, Wiley, Taylor, and Francis.
etc. His research interests include Electric Vehicle Charging station, Battery
Swapping, Fault Diagnosis in AC Drives, Multiport Converter,
Computational intelligence, Hybrid microgrid, and Advanced
step-up converters.
Employment
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Vellore Institute of Technology
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (53)
- Optimizing smart grid performance: A GRU approach to electric power forecasting and demand side management Save
- IIPQ controlled three phase three level four wire T-type vienna rectifier for high efficient off board fast EV charging station with enhanced system stability Save
- Optimized LSTM-based electric power consumption forecasting for dynamic electricity pricing in demand response scheme of smart grid Save
- Innovative solar PV array design: mitigating partial shading for Optimal Performance Index Save
- IoT based monitoring system for DFIG based wind turbines under voltage dips Save
- Artificial rabbits optimization algorithm based tuning of PID controller parameters for improving voltage profile in AVR system using IoT Save
- Optimizing electric vehicle charging in distribution networks: A dynamic pricing approach using internet of things and Bi-directional LSTM model Save
- Dynamic pricing for load shifting: Reducing electric vehicle charging impacts on the grid through machine learning-based demand response Save
- Design of PV, Battery, and Supercapacitor-Based Bidirectional DC-DC Converter Using Fuzzy Logic Controller for HESS in DC Microgrid Save
- Binary firefly algorithm based reconfiguration for maximum power extraction under partial shading and machine learning approach for fault detection in solar PV arrays Save