Arup Kumar Goswami

Employment

• National Institute of Technolgy Silchar Professor
  2022 - Present
• National Institute Of Technology Silchar Associate Professor
  2018 - 2022
• National Institute of Technology Assistant Professor
  2010 - 2018

Education

• Indian Institute of Technology Roorkee PhD
  2006 - 2010
• Birla Institute of Technology, Mesra M.E
  2003 - 2005
• National Institute of Technology Kurukshetra B.Tech
  1993 - 1997

Projects & Funding

Projects & funding information is unavailable.

Publications (90)

• An Adaptive Renewable Energy Penetration Approach With Energy Storage Arbitrage for Profit Maximization in Deregulated Power Market
  International Transactions on Electrical Energy Systems 2025 DOI: 10.1155/etep/2506650
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• Multi-objective smart charging strategy of plug-in electric vehicles in distribution system
  e-Prime - Advances in Electrical Engineering, Electronics and Energy 2024 DOI: 10.1016/j.prime.2024.100860
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• Bivariate Modeling of Normalized Energy Intensity of Oil and Paper for Determining the Health Index of In-Service Transformers and Reactors
  IEEE Transactions on Industry Applications 2024 DOI: 10.1109/TIA.2023.3323414
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• Influence of Ageing on Properties of Insulating Oil and Life Estimation of In-Service Transformer and Reactors: A Latent Variable Approach
  IEEE Transactions on Industry Applications 2024 DOI: 10.1109/TIA.2023.3323638
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• Multistage Scheduling of VPP Under Distributed Locational Marginal Prices and LCOE Evaluation
  IEEE Access 2024 DOI: 10.1109/ACCESS.2024.3446035
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• Charging Coordination of Plug-in Electric Vehicles Considering Machine Learning Based State-of-Charge Prediction for Congestion Management in Distribution System
  Electric Power Components and Systems 2023 DOI: 10.1080/15325008.2022.2164384
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• Development of Machine Learning Based State-of-Charge Prediction Model for Plug-in Electric Vehicle's Relocation in Sharing System
  IEEE Transactions on Industry Applications 2023 DOI: 10.1109/TIA.2023.3271967
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• Economic Benefit Analysis by Integration of Different Comparative Methods for FACTS Devices
  2023 DOI: 10.1007/978-981-19-8194-4_15
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• Determination of Health Index of Insulating Oil of In-Service Transformer & Reactors Based on IFT Predicted by Multigene Symbolic Regression
  IEEE Transactions on Industry Applications 2022 DOI: 10.1109/TIA.2022.3188965
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• Bayesian Optimization-Based Gradient Boosting Method of Fault Detection in Oil-Immersed Transformer and Reactors
  IEEE Transactions on Industry Applications 2022 DOI: 10.1109/TIA.2021.3134140
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