ARUN MOZHI S

Employment

• Thiagarajar College of Engineering Senior Research Fellow
  2025 - Present

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (9)

• A novel method for energy management with optimization in plug-in electric vehicle integration into the grids : An experimental study
  S. Arun Mozhi, S. Charles Raja, Vijaya Kumar Nambi Mahadevan +3 more
  Electrical Engineering 2025 DOI: 10.1007/s00202-025-03251-z
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• Anomergy - A novel strategic data-driven framework for detecting anomalies in residential community using temporal intelligence
  E Prime Advances in Electrical Engineering Electronics and Energy 2025 DOI: 10.1016/j.prime.2025.101049
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• Optimized Standalone Hybrid Microgrid Design for Reliable Electrification in Remote Rural Communities
  2024 IEEE 1st International Conference on Green Industrial Electronics and Sustainable Technologies (GIEST) 2024 DOI: 10.1109/giest62955.2024.10959789
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• Optimization Algorithms and Computing Techniques for Electric Vehicles
  Electric Vehicle Design 2024 DOI: 10.1002/9781394205097.ch11
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• Deep Learning based EV Battery Management System
  2023 International Conference on Energy, Materials and Communication Engineering (ICEMCE) 2023 DOI: 10.1109/icemce57940.2023.10434186
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• FFT-FCA based Inductive WPT system for Effective coupling with high Air-gap on EVs Charging applications
  2023 International Conference on Energy, Materials and Communication Engineering (ICEMCE) 2023 DOI: 10.1109/icemce57940.2023.10434257
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• Performance Analysis of an Electric Vehicle Battery Using Real-time Drive Cycles
  2023 International Conference on Energy, Materials and Communication Engineering (ICEMCE) 2023 DOI: 10.1109/icemce57940.2023.10433901
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• Effective Power Loss Management in the Distribution System by the Hybrid Cuckoo Search Grey Wolf Optimizer
  IETE Journal of Research 2023 DOI: 10.1080/03772063.2023.2199007
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• Energy Management of Hybrid Energy Storage System in PHEV With Various Driving Mode
  Artificial Intelligent Techniques for Electric and Hybrid Electric Vehicles 2020 DOI: 10.1002/9781119682035.ch5
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