Amaresh Gantayet

About

Amaresh Gantayet was born in Bhubaneswar, Odisha, India. He received the B. Tech. degree in Electrical Engineering from Biju Patnaik University of Technology, Rourkela, India, and an M. Tech. in Electrical Engineering from the Indian Institute of Technology Kharagpur, India, in 2013. He received a Ph.D. Degree in Electrical Engineering from the Department of Electrical Engineering at the National Institute of Technology Patna, India, in 2022. He joined the Department of Electrical and Electronics Engineering, Siksha O Anusandhan, Deemed to be University, Bhubaneswar, India, as an Assistant Professor in 2013. His research interests include the Application of Artificial Intelligence and Machine Learning Techniques for electric power distribution system planning, distributed generation, and demand-side management. He has authored in many International Journals and Conferences.

Employment

• Siksha O Anusandhan University Institute of Technical Education and Research ASSISTANT PROFESSOR
  2013 - Present

Education

• National Institute of Technology Patna Ph. D in Electrical Engineering
  2019 - 2022
• Indian Institute of Technology Kharagpur MASTERS OF TECHNOLOGY (M.TECH)
  2010 - 2013
• Biju Patnaik University of Technology BACHELORS OF TECHNOLOGY (B. TECH)
  ? - 2009

Projects & Funding

Projects & funding information is unavailable.

Publications (21)

• Advancing Active Distribution System Performance and Reliability Through Demand-Side Energy Management and Optimized Planning Strategies
  2026 DOI: 10.1109/ODICON66687.2026.11470657
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• Bi-level optimization for demand response integration with solar pv and battery energy storage systems: Enhancing distribution network efficiency and sustainability
  Energy Reports 2026 DOI: 10.1016/j.egyr.2025.12.019
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• Distributed generation planning in distribution system for maximum loading and feeder upgrade deferral using the incomprehensible but intelligible-in-time logics optimisation algorithm
  International Journal of Ambient Energy 2025 DOI: 10.1080/01430750.2025.2549443
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• A data-driven approach to support voltage profiles & loss reduction in wind generator integrated active distribution network considering solid-state transformers with twofold reactive power compensation
  Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 2025 DOI: 10.1080/15567036.2021.2009065
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• Evaluation of Reliability Indices Through a Cost Minimization Approach for Planning of a Meshed Distribution System
  2024 DOI: 10.1109/ODICON62106.2024.10797634
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• Efficient allocation of energy storage and renewable energy system for performance and reliability improvement of distribution system
  Computers and Electrical Engineering 2024 DOI: 10.1016/j.compeleceng.2024.109616
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• Reactive Power Support for Voltage Profile Improvement and Loss Reduction in Radial Distribution Systems with Solid-State Transformer
  2023 DOI: 10.1109/SeFeT57834.2023.10245619
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• Administrator Controlled Timetable Based Automatic Facial Recognition Attendance System
  2023 DOI: 10.1109/APSIT58554.2023.10201761
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• A multi-objective optimisation strategy exploring the energy routing capability of a smart transformer while integrating hybrid energy hub into a distribution network
  Sustainable Energy, Grids and Networks 2022 DOI: 10.1016/j.segan.2022.100956
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• A data-driven multi-objective optimization framework for optimal integration planning of solid-state transformer fed energy hub in a distribution network
  Engineering Science and Technology, an International Journal 2022 DOI: 10.1016/J.JESTCH.2022.101278
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