ANUBHAV KUMAR PANDEY

About

Assistant Professor & Core Research Faculty, Research Coordinator, DSCE, Bengaluru, India

Former Senior Research Fellow, DST sponsored INSPIRE Fellowship, Government of India

Employment

• Dayananda Sagar University Assistant Professor
  2024 - Present

Education

• Ministry of Power PGDC
  2015 - 2015
• Chhattisgarh Swami Vivekanand Technical University BACHELOR OF ENGINEERING
  2010 - 2014

Projects & Funding

Projects & funding information is unavailable.

Publications (31)

• Assessment of design challenges and viability of wireless electric vehicle charging stations in residential setup to empower sustainable e-mobility: A comprehensive review
  Next Research 2026 DOI: 10.1016/j.nexres.2026.101986
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• Fault resistance estimation and classification in 11 kV distribution networks with noise robustness: A machine learning-based multi-fault analysis
  Array 2026 DOI: 10.1016/j.array.2026.101024
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• Temperature-driven nanostructure evolution in magnetron-sputtered Zr-Ti oxide thin films enabling tunable optical, electrical and hydrophobic functionalities
  Journal of Alloys and Compounds Communications 2026 DOI: 10.1016/j.jacomc.2026.100244
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• Analyzing the impact of power loss reduction in radial distribution network using diverse distributed generators by utilizing ZIP load models
  Scientific Reports 2026 DOI: 10.1038/s41598-026-55639-x
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• Nonlinear active disturbance rejection control for unstable processes with time delay: A case study of a continuous stirred tank reactor
  Results in Engineering 2026 DOI: 10.1016/j.rineng.2026.110296
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• Comparative Performance Analysis of Isolated and Non-Isolated DC–DC Converters to Advance Electric Vehicle Charging Infrastructures
  World Electric Vehicle Journal 2026 DOI: 10.3390/wevj17020095
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• Optimizing electric vehicle fleets to develop smart charging infrastructure: a digital twin approach
  Sustainable Energy Research 2026 DOI: 10.1186/s40807-026-00240-z
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• Performance evaluation of economic viability of a virtual power plant employing multiple nature inspired meta-heuristic techniques
  Sustainable Computing Informatics and Systems 2026 DOI: 10.1016/j.suscom.2026.101318
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• Machine learning-based carbon intensity estimation in smart grids with behind-the-meter distributed energy resources: A comprehensive review and future perspectives
  Next Energy 2026 DOI: 10.1016/j.nxener.2026.100953
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• Interconnected Operation and Economic Feasibility-Based Sustainable Planning of Virtual Power Plant in Multi-Area Context
  Smart Cities 2025 DOI: 10.3390/smartcities8010037
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