- h-index
- 5
- Citations
- 123
- Publications
- 26
via OpenAlex
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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.
- 37 cites
Microsystem Technologies2020journal article
View DOI - 8 cites
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
View DOI - 1 cites
A Graph Theory Based Post-Event Degraded State Resiliency Index for Power Systems
2023 International Conference for Advancement in Technology, ICONAT 20231970conference paper
View DOI - 0 cites
Deep learning assisted solar forecasting for battery swapping stations
Energy Sources, Part A: Recovery, Utilization, and Environmental Effects2024journal article
View DOI - 0 cites
Analysis of FFT and K-Means Clustering for Structural Health Monitoring
2024 IEEE Calcutta Conference (CALCON)2024conference paper
View DOI - 0 cites
Power System Resiliency Assessment Aided by Machine Learning Techniques
2024 IEEE Calcutta Conference (CALCON)2024conference paper
View DOI - 0 cites
Journal of The Institution of Engineers (India): Series B2024journal article
View DOI - 0 cites
Resiliency improvement through grid forming inverter
Microsystem Technologies2024journal article
View DOI - 0 cites
International Journal of Emerging Electric Power Systems2022journal article
View DOI - 0 cites
A Thorough Survey and Analysis of Advancements in Electric Vehicle Charging Technologies
Lecture Notes in Electrical Engineering1970book chapter
View DOI - 0 cites
Lecture Notes in Electrical Engineering1970book chapter
View DOI - 0 cites
Power System Resilience Quantification and Prediction Using Machine Learning Techniques
Lecture Notes in Electrical Engineering1970book chapter
View DOI - 0 cites
Design of solar battery swapping station for EV using LSTM-assisted solar power forecasting
Microsystem Technologies1970journal article
View DOI - 0 cites
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
5th International Conference on Energy, Power, and Environment: Towards Flexible Green Energy Technologies, ICEPE 20231970conference paper
View DOI - 0 cites
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
Prediction of Power Outage During Cyclone Using Machine Learning
2022 IEEE Calcutta Conference, CALCON 2022 - Proceedings1970conference paper
View DOI - 0 cites
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
View DOI - 0 cites
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
View DOI - 0 cites
Operational Constraints Governed Loadability Characteristics of EHV/UHV Transmission Lines
2022 International Conference for Advancement in Technology, ICONAT 20221970conference paper
View DOI - 0 cites
COVID-19: Impact Analysis on Power Sector (A Comprehensive Review on Demand Change)
Lecture Notes in Electrical Engineering1970conference paper
View DOI - 0 cites
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
View DOI - 0 cites
IET Conference Proceedings1970conference paper
View DOI - 0 cites
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
Challenges of Employing Renewable Energy for Reducing Greenhouse Gases (GHGs) and Carbon Footprint
Encyclopedia of Renewable and Sustainable Materials: Volume 1-51970book chapter
View DOI - 0 cites
Optimal Operation of Renewable Distributed Generators (DGs) and its Environmental Benefits
Encyclopedia of Renewable and Sustainable Materials: Volume 1-51970book chapter
View DOI