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Personal Details
NameDr T VENKATA KUMAR
DesignationAssistant Professor
DepartmentElectrical, School of Energy Technology
EmailPavan.Venkata@sot.pdpu.ac.in
Educational Qualifications
  • B.Tech. (ELECTRICAL AND ELECTRONICS ENGINEERING, KONERU LAKSHMAIAH COLLEGE OF ENGINEERING(K L UNIVERSITY)), 2011
  • M.Tech. (Power Systems Engineering, NIT Warangal), 2014
  • Ph.D (Microgrid Protection, Pandit Deendayal Energy University), 2023
    Professional Affiliation
    Awards
    Publications / Articles / Conference
    Published Papers in Journals
  • 'Data Mining and SVM Based Fault Diagnostic Analysis in Modern Power System Using Time and Frequency Series Parameters Calculated From Full-Cycle Moving Window', Journal of Operation and Automation in Power Engineering, pp. 206-214, Aug 2024, DOI : https://doi.org/10.22098/JOAPE.2023.10819.1789
  • 'Support vector machine for fast fault detection and classification in modern power systems using quarter cycle data', Energy Reports, pp. 92-98, Dec 2022, DOI : https://doi.org/10.1016/j.egyr.2022.10.279
  • 'Data Mining and SVM Based Fault Diagnostic Analysis in Modern Power System Using Time and Frequency Series Parameters Calculated From Full-Cycle Moving Window', Journal of Operation and Automation in Power Engineering, pp. 1-9, Dec 2022, DOI : https://doi.org/10.22098/JOAPE.2023.10819.1789
  • 'Data Mining Model Based Differential Microgrid Fault Classification Using SVM Considering Voltage and Current Distortions', Journal of Operation and Automation in Power Engineering, pp. 162-172, Oct 2022, DOI : https://doi.org/10.22098/joape.2023.10185.1722
    Full Papers in Conference Proceedings
  • 'Support vector machine for fast fault detection and classification in modern power systems using quarter cycle data', 7th International Conference on Advances on Clean Energy Research, ICACER 2022 April 20–22, 2022, Barcelona, Spain, pp. 92-98, Apr 2022, DOI : https://doi.org/10.1016/j.egyr.2022.10.279
  • 'Data mining model and Gaussian Naive Bayes based fault diagnostic analysis of modern power system networks', 1st International Conference on Additive Manufacturing and Advanced Materials (AM2-2021) , Mar 2022
  • 'Machine Learning Based Transmission Line Fault Analysis by Using Single Ended Parameters', ICRPHGIRES - 2021, Mar 2021