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Dr. Jai Govind Singh

Position
Associate Professor and Head of EECC Department
Unit
Sustainable Energy Transition, Department of Energy, Environment and Climate Change
QUALIFICATION
AREA OF EXPERTISE
SELECTED PUBLICATIONS
SELECTED RESEARCH PROJECTS

Ph.D. (2008), Power and Control, EED, Indian Institute of Technology, Kanpur, India

M.Tech. (2003), Power System, EED, Indian Institute of Technology, Roorkee, India

B.E. (2001), Electrical Engineering, Motilal Nehru National Institute of Technology, Allahabad, India

  • Electric and Hybrid Electric Vehicles Technologies
  • Smart grid and Microgrid Design and Operation
  • Renewable Energy Generation and Integration
  • Power System Planning, Operation, and Control
  • Restructuring of Electricity Market and Power Trading
  • Distribution System Design, Planning, and Automation
  • Energy Storage Technologies and Integration
  1. Bhatt, A., Ongsakul, W., Nimal Madhu, M., Singh, J.G. (2022): Sliding window approach with first-order differencing for very short-term solar irradiance forecasting using deep learning models. Sustainable Energy Technologies and Assessments, Elsevier, 50, March 2022. (Clarivate Analytics IF=5.353)
  2. Ariful Islam, Jai Govind Singh, Israt Jahan, M. S. Hossain Lipu, Taskin Jamal, Rajvikram Madurai Elavarasan, and Lucian Mihet-Popa (2021). Modeling and Performance Evaluation of ANFIS Controller-Based Bidirectional Power Management Scheme in Plug-In Electric Vehicles Integrated with Electric Grid. IEEE Access, Vol. 9, pp. 166762-166780, 2021, doi: 10.1109/ACCESS.2021.3135190. (Clarivate Analytics IF=3.367)
  3. Bhatt, A., Ongsakul, W., Madhu Manjiparambil, N., Singh, J.G. (2021). Machine learning-based approach for useful capacity prediction of second-life batteries employing appropriate input selection. International Journal of Energy Research, 2021, 45(15), pp. 21023–21049. (Thomson Reuters IF=5.164)
  4. M. Golam Mostafa, Jai Govind Singh and H.M. Enamul Haque (2020). An Extensive Literature Review and New Proposal on Optimal Capacitor Placement in Distribution Systems. Journal of Engineering Advancements, 01(04) 2020, pp 150-169.
  5. Chaweewat, P., Singh, J.G. (2020). An electricity price interval forecasting by using residual neural network. International Transactions on Electrical Energy Systems, 2020, 30(9), e12506. (Thomson Reuters IF=1.692)
  1. USAID Southeast Asia EDGE Hub ,  TetraTech / USAID, 2020-2023.
  2. International Conference (ICUE 2020), Registration revenues, sponsorships and grants, 2019-2021
  3. Mastering Energy Supply focusing on Isolated Areas, ERASMUS+, 2019-2021
  4. Design and Development of Smart Grid Test Bed for Experimental Verification of Synchrophasor based Algorithms for Wide Area Monitoring, Protection and Control (WAMPAC) for Power Grids with Large Penetration of Renewable Energy Resources, Department of Science and Technology (DST), India, 2018-2021
  5. Bangchak Initiative and Innovation Center at AIT, Bangchak Petroleum Company, Thailand, 25th July 2017 to 24th July 2022