Biography

Dr. Surender Reddy Salkuti

Department of Railroad & Electrical Engineering,

Woosong University, Daejeon, South Korea

Associate Professor


Email: [email protected]


Qualifications

2013, Ph.D., Electrical Engineering, Indian Institute of Technology (IIT) Delhi, New Delhi, India

2009, M.Tech, Power Systems Engineering, National Institute of Technology (NIT) Warangal, Telangana, India

2006, B.Tech, Electrical and Electronics Engineering, Jawaharlal Nehru Technological University, Hyderabad, Telangana, India


Publications (Selected)


  1. Salkuti, S. R. (2025). Emerging trends in electric vehicles, smart grids, and smart cities. Energies, 19(1), 224.
  2. Sreenu, C., Mallesham, G., Shekar, T. C., et al. (2025). High gain Quasi Z-source converters with artificial bee colony control for grid-integrated solar-wind energy sources. Green Energy and Intelligent Transportation, 4(6), 100264.
  3. Tiwari, V., Dubey, H. M., Pandit, M., et al. (2025). Economic dispatch in microgrid with battery storage system using wild geese algorithm. Green Energy and Intelligent Transportation, 4(5), 100263.
  4. Nanda, B. P., Mishra, D. P., & Salkuti, S. R. (2025). A modified ant lion optimization algorithm for efficient distributed generation allocation in power distribution networks. Electric Power Systems Research, 246, 111705.
  5. Pothireddy, K. M. R., Vuddanti, S., & Salkuti, S. R. (2025). Optimal assortment of methods to mitigate the imbalance power in the day-ahead market. Electrical Engineering, 107(6), 7933–7954.
  6. Salkuti, S. R. (2025). Techno-economic analysis of renewable energy, storage, and electric vehicles for sustainable development. Energies, 18(2), 238.
  7. Sathyan, S., Pandi, V. R., Sreekumar, P., et al. (2025). A hybrid multi-criteria decision-making and multi-objective framework for optimal sizing of PV-powered EV charging station with battery storage. IEEE Access, 13, 129977–129994.
  8. Gayathry, V., Kaliyaperumal, D., & Salkuti, S. R. (2024). Seasonal solar irradiance forecasting using artificial intelligence techniques with uncertainty analysis. Scientific Reports, 14(1), 17945.
  9. Sathyan, S., Pandi, V. R., Antony, A., et al. (2024). ANN-based energy management system for PV-powered EV charging station with battery backup and vehicle to grid support. International Journal of Green Energy, 21(6), 1279–1294.
  10. Ram, V., & Salkuti, S. R. (2023). An overview of major synthetic fuels. Energies, 16(6), 2834.
  11. Salkuti, S. R. (2023). Advanced technologies for energy storage and electric vehicles. Energies, 16(5), 2312.
  12. Sekar, R. M., Murugesan, S., Devadasu, G., et al. (2023). A coyote optimization-based residual attention echo state reactive controller for improving power quality in grid-PV systems. Machines, 11(3), 384.
  13. Katiki, D., Yammani, C., & Salkuti, S. R. (2023). Improved-Odd-Even-Prime reconfiguration to enhance the output power of rectangular photovoltaic array under partial shading conditions. Electronics, 12(2), 427.
  14. Kujur, S., Dubey, H. M., & Salkuti, S. R. (2023). Demand response management of a residential microgrid using chaotic Aquila optimization. Sustainability, 15(2), 1484.
  15. Sajid, S., Salkuti, S. R., Praneetha, C., et al. (2022). Short term wind speed forecasting using time series techniques. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 44(4), 9861–9881.
  16. Das, S. R., Mishra, A. K., Ray, P. K., et al. (2022). Application of artificial intelligent techniques for power quality improvement in hybrid microgrid system. Electronics, 11(22), 3826.
  17. Mohanty, A. K., Babu, P. S., & Salkuti, S. R. (2022). Fuzzy-based simultaneous optimal placement of electric vehicle charging stations, distributed generators, and DSTATCOM in a distribution system. Energies, 15(22), 8702.
  18. Mohanty, A. K., Babu, P. S., & Salkuti, S. R. (2022). Optimal allocation of fast charging station for integrated electric-transportation system using multi-objective approach. Sustainability, 14(22), 14731.
  19. Salkuti, S. R. (2022). Emerging and advanced green energy technologies for sustainable and resilient future grid. Energies, 15(18), 6667.
  20. Dubey, S. M., Dubey, H. M., & Salkuti, S. R. (2022). Modified quasi-opposition-based Grey Wolf Optimization for mathematical and electrical benchmark problems. Energies, 15(15), 5704.


Profile Details
https://www.researchgate.net/profile/Surender-Reddy-Salkuti
https://scholar.google.com/citations?user=yZze_g4AAAAJ&hl=en

WOS ResearcherID: KTX-6825-2024


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