Dr. Tukaram Moger

About

Tukaram Moger (M’10, SM’19) received B.E. degree in electrical and electronics engineering from Karnatak University, Dharwad, Karnataka, India, in 2001, M.Tech. degree in electrical engineering from Indian Institute of Technology Kanpur (IITK), UP, India, in 2005, and Ph.D. degree in electrical engineering from Indian Institute of Science (IISc) Bengaluru, India, in 2016. He has been associated with academic institutions as a faculty member and currently working as Associate Professor in the Department of Electrical and Electronics Engineering, National Institute of Technology Karnataka (NITK), Surathkal, Mangaluru, India. His research interests include grid Integration of renewable energy, solar photovoltaic systems, reactive power and voltage control, power system operation and planning. Dr. Moger is a senior member of IEEE (USA), IEEE Power & Energy Society (PES), member of IEEE Eta-Kappa Nu (Mu Xi Chapter of IISc), IET (UK), CIGRE, Institution of Engineers (India), and life member of Indian Society for Technical Education (ISTE), System Society of India (SSI) and Soft Computing Research Society (SCRS) of India. He also holds Chartered Engineer (India) certificate.

Employment

• National Institute of Technology Karnataka Associate Professor
  2023 - Present
• National Institute of Technology Karnataka Assistant Professor (Grade I)
  2018 - 2023
• National Institute of Technology Karnataka Assistant Professor (Grade II)
  2008 - 2018
• Thapar Institute of Engineering & Technology Assistant Professor (Grade II)
  2006 - 2008
• JSS Academy Technical Education Lecturer
  2005 - 2006
• B.V.Bhoomaraddi College of Engneering and Technology Lecturer
  2002 - 2003

Education

• Indian Institute of Science PhD
  2012 - 2016

Projects & Funding

Projects & funding information is unavailable.

Publications (50)

• Enhanced quadratic multi-port common grounded high voltage-gain DC-DC converter for electric vehicle applications
  Results in Engineering 2026 DOI: 10.1016/j.rineng.2026.109625
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• PV–FC based high-gain non-isolated multi-port DC–DC converter with voltage multiplier cells for DC-microgrid applications
  Engineering Research Express 2026 DOI: 10.1088/2631-8695/ae50d3
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• Maximum entropy based probabilistic load flow for assessing input uncertainties and line outages in wind-integrated power systems
  Electric Power Systems Research 2025 DOI: 10.1016/j.epsr.2025.111528
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• Comparison of Solar Irradiance Forecasting Performance With K-Means++ Clustering Combined With Hybrid Deep Learning Models
  2025 DOI: 10.4018/979-8-3693-9924-8.ch007
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• A Novel Transformer-Based Approach for Reliability Evaluation of Composite Systems With Renewables and Plug-in Hybrid Electric Vehicles
  IEEE Access 2025 DOI: 10.1109/ACCESS.2025.3564407
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• Advances in Composite Power System Reliability Assessment: Trends and Machine Learning Role
  IEEE Access 2025 DOI: 10.1109/ACCESS.2025.3567464
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• Application of Reinforcement Learning-Based Adaptive PID Controller for Automatic Generation Control of Multi-Area Power System
  IEEE Transactions on Automation Science and Engineering 2025 DOI: 10.1109/TASE.2024.3359219
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• Solar Irradiance Forecasting Performance Enhancement Using Hybrid Fuzzy-Based CNN-BiLSTM-Transformer Model
  IEEE Access 2025 DOI: 10.1109/ACCESS.2025.3626780
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• A modified point estimate-based probabilistic load flow approach for improving tail accuracy in wind-integrated power systems
  Electric Power Systems Research 2025 DOI: 10.1016/j.epsr.2025.111606
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• Solar irradiation forecast enhancement using clustering based CNN-BiLSTM-attention hybrid architecture with PSO
  International Journal of Ambient Energy 2024 DOI: 10.1080/01430750.2024.2414924
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