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Dipanjan Bose

Indian Institute of Social Welfare and Business ManagementIN
ORCID0000-0003-0595-6231
h-index
5

via OpenAlex

Citations
123

via OpenAlex

Publications
26

About

Dr. Dipanjan Bose is an Assistant Professor in the Department of Energy Management at the Indian Institute of Social Welfare and Business Management (IISWBM), Kolkata. He obtained his Ph.D. in Electrical Engineering from the Indian Institute of Engineering Science and Technology (IIEST), Shibpur, where his research focused on power system resiliency assessment. His research integrates advanced methodologies such as machine learning, complex network theory, and resilience metrics to analyze and enhance the reliability of modern power systems. His work spans key areas including power system resilience, cascading failure analysis, renewable energy integration, carbon footprint reduction, and intelligent energy management. Dr. Bose has authored several peer-reviewed journal articles and international conference papers. He has also been actively involved in government-funded research projects aimed at developing smart and sustainable energy solutions. His current research focuses on the application of artificial intelligence and machine learning in renewable energy systems to improve grid resilience and support the transition toward net-zero energy goals. Through his academic and research contributions, Dr. Bose continues to advance sustainable, data-driven, and resilient power and energy systems.

Research areas

  • Computer science
  • Power (physics)
  • Engineering
  • Physics
  • Quantum mechanics

Publications (26)

Sorted by most cited.

  1. Assessment of Resiliency by incorporating DGs in Power Network using Graph Theoretic Approach

    3rd International Conference on Energy, Power and Environment: Towards Clean Energy Technologies, ICEPE 20201970conference paper

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    8 cites
  2. A Graph Theory Based Post-Event Degraded State Resiliency Index for Power Systems

    2023 International Conference for Advancement in Technology, ICONAT 20231970conference paper

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    1 cites
  3. Deep learning assisted solar forecasting for battery swapping stations

    Energy Sources, Part A: Recovery, Utilization, and Environmental Effects2024journal article

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    0 cites
  4. Analysis of FFT and K-Means Clustering for Structural Health Monitoring

    2024 IEEE Calcutta Conference (CALCON)2024conference paper

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    0 cites
  5. Power System Resiliency Assessment Aided by Machine Learning Techniques

    2024 IEEE Calcutta Conference (CALCON)2024conference paper

    View DOI
    0 cites
  6. 0 cites
  7. Resiliency improvement through grid forming inverter

    Microsystem Technologies2024journal article

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    0 cites
  8. Blockchain insisted resilience enhancement of power electricity markets using distributed energy trading

    International Journal of Emerging Electric Power Systems2022journal article

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    0 cites
  9. 0 cites
  10. 0 cites
  11. Assessment of Power System Security using Contingency Ranking Analysis

    5th International Conference on Energy, Power, and Environment: Towards Flexible Green Energy Technologies, ICEPE 20231970conference paper

    View DOI
    0 cites
  12. Electrical Distance Based ML-Assisted Clustering Case Study on Indian 62-Bus Utility Grid for Voltage Control Area Determination

    5th International Conference on Energy, Power, and Environment: Towards Flexible Green Energy Technologies, ICEPE 20231970conference paper

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    0 cites
  13. Survivability Assessment of a DG-enabled Power Distribution System through Network Reconfiguration

    5th International Conference on Energy, Power, and Environment: Towards Flexible Green Energy Technologies, ICEPE 20231970conference paper

    View DOI
    0 cites
  14. Prediction of Power Outage During Cyclone Using Machine Learning

    2022 IEEE Calcutta Conference, CALCON 2022 - Proceedings1970conference paper

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    0 cites
  15. Analysis of Cascading Failures in the Study of Power System Resiliency

    Proceedings of 2022 1st IEEE International Conference on Industrial Electronics: Developments and Applications, ICIDeA 20221970conference paper

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    0 cites
  16. Crewman Deployment Model for Improving the Resiliency of the Power System

    2022 International Conference on Intelligent Controller and Computing for Smart Power, ICICCSP 20221970conference paper

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    0 cites
  17. Operational Constraints Governed Loadability Characteristics of EHV/UHV Transmission Lines

    2022 International Conference for Advancement in Technology, ICONAT 20221970conference paper

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    0 cites
  18. COVID-19: Impact Analysis on Power Sector (A Comprehensive Review on Demand Change)

    Lecture Notes in Electrical Engineering1970conference paper

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    0 cites
  19. Voltage Profile Improvement by using DGs in Power System Resilient Framework

    Proceedings of 2021 IEEE International Conference on Power, Electrical, Electronic and Industrial Applications, PEEIACON 20211970conference paper

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    0 cites
  20. Distributed Energy Trading Network: Decentralized and Secured

    3rd International Conference on Energy, Power and Environment: Towards Clean Energy Technologies, ICEPE 20201970conference paper

    View DOI
    0 cites
  21. Challenges of Employing Renewable Energy for Reducing Greenhouse Gases (GHGs) and Carbon Footprint

    Encyclopedia of Renewable and Sustainable Materials: Volume 1-51970book chapter

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    0 cites
  22. Optimal Operation of Renewable Distributed Generators (DGs) and its Environmental Benefits

    Encyclopedia of Renewable and Sustainable Materials: Volume 1-51970book chapter

    View DOI
    0 cites