Dr. SREENU SREEKUMAR

Srinu

Assistant Professor

Email: sreenu@ee.nits.ac.in

Date of Joining: 11/07/2022

Academic/Research Experience: 8+ years

Google Scholar: Click Here (H-index: 13)

Scopus Profile: Click Here (H-index: 12)

Web of Science Profile: Click Here (H-index: 9, Verified Reviews: 195) 

Vidwan Profile: Click Here

Linkedin Profile: Click Here

ResearchGate Profile: Click Here

AREA OF INTEREST AND SPECIALIZATION (INCLUDING RESEARCH AREA)

  • Power System Flexibility
  • Power System Security
  • Renewable Generation Forecasting
  • Load Forecasting
  • Renewable Integration
  • Mathematical Modeling of Motors for Electric Vehicles
  • Inertia Forecasting
  • Imbalance Forecasting
  • Synthetic Inertia

SHORT BIOGRAPHICAL SKETCH

Sreenu Sreekumar received the B.Tech. degree in electrical and electronics engineering (EEE) from Government Engineering College, Idukki, Kerala (Mahatma Gandhi University, Kerala, India), in 2012, and the M.Tech (Power Systems) and Ph.D. (Electrical Engineering) degree from Malaviya National Institute of Technology Jaipur, Jaipur, India, in 2015 and 2020 respectively. He is the recipient of the prestigious POSOCO Power System Award 2016 (National level) for the best M-tech level power system research. He was a Post-Doctoral Research Fellow at NIT Trichy. Currently, he is working as an Assistant Professor in the electrical engineering department at NIT Silchar, Assam. He has 40 international publications (16 Journal Papers, 23 conference papers, and one book). His research interests include power system flexibility enhancement, load forecasting, renewable generation forecasting, inertia Forecasting, imbalance Forecasting, Synthetic Inertia, mathematical modeling of motors for electric vehicles, and Net Zero targets.

SUBJECTS TAUGHT (INCLUDING SUBJECTS CURRENTLY TEACHING)

  • Solar & Wind Energy Conversion Systems
  • Basic Electrical and Electronics Engineering
  • Applied Electrical and Electronics Engineering
  • Modern Control Theory
  • Generation of Electric Power
  • New and Renewable Energy Sources
  • Power System Analysis
  • Electrical Safety
  • Design with PIC Microcontrollers
  • DC machines and transformer
  • AC machines
  • Flexible AC Transmission Systems
  • Advanced Electric Drives
  • Electro-Magnetic Field Theory
  • Power System Reliability and De-regulation
  • Power Systems I

PROFESSIONAL MEMBERSHIPS

  • Senior Member, IEEE

AWARDS & RECOGNITIONS

  • POSOCO Power System Award 2016 for best master’s level power system research (POSOCO Power Grid and IIT Delhi).
  • Selected among Top 3 Karmayogis by MOE, Government of India for the highest number of certifications on iGOT Karmayogi platform, GOI (2024).
  • 146 certifications on iGOT Karmayogi platform, GOI

PROJECTS/FUNDINGS

  • Bhutan India Friendship workshop on “Applications of Artificial Intelligence in Renewable Energy Integration, EV charging, and Grid Modernization infused with Gross National Happiness Values, Organizing Institutions: Jigme Namgyal Engineering College, Dewathang, Samdrupjongkhar, Bhutan, National Institute of Technology Silchar, India, and  College of Science and Technology (CST), Phuentsholing, Bhutan. Funding Agency: India-Bhutan Foundation (IBF) (Approved). Funding: 6 Lakhs 

INVITED TALKS/EXPERT LECTURES/DISTINGUISHED SPEAKER/CONFERENCE ORGANIZING/PROGRAM/ TECHNICAL COMMITTEE MEMBER

  • Industrial Oriented Virtual Workshop on Technologies for Sustainable India, Mode of delivery: Online, Date of delivery: 20/07/2020, Institute: Kaziranga University, Assam.
  • TEQIP 3, IEEE student branch and IEEE Rajasthan section sponsored Research Seminar Series, Mode of delivery: Online, Date of delivery: 12/08/2020, Institute: MNIT Jaipur
  • Faculty Development Programme on Smart Grid Enabling Technologies for Sustainable Future, Mode of delivery: Online, Date of Delivery: 14/03/2023, Institute: SKIT Jaipur
  • Program Committee member: INDICON -2023
  • Program Committee member: ICGETEI-2021
  • Program Committee Member: International Conference on Deep Learning and Visual Artificial Intelligence (ICDLAI-2024)
  • An expert lecture on Electric Vehicle, Mode of delivery: Online, Date of Delivery: 25/03/2024, Organized by: IEEE Student Branch, Al-Ameen Engineering College Kulappully
  • Track Chair: 1st IEEE International Conference on Green Industrial Electronics and Sustainable Technologies (GIEST-2024)
  • Publicity Co-Chair: 4th International conference on Modeling, Simulation and Optimization 2024 
  • Publication Chair: IEEE North East India International Energy conversion conference and Exhibition 2025

INTERNATIONAL JOURNALS

  1. Sreekumar, S., Khan, N. U., Rana, A, Sajjadi, M., & Kothari, D. P. (16/10/2022). “Aggregated Netload Forecasting using Markov-Chain Monte-Carlo Regression and C-Vine Copula”. Applied Energy, Accepted. (SCI, IF:11.446)
  2. Sreekumar, S., Sharma, K. C., Bhakar, R, S. P. Simon & Rana, A. (19/07/2022). “Multi Interval Zero Carbon Flexible Ramp Product”. Electric Power Systems Research, 212, p.108258. (SCI, IF:3.81)
  3. Sreekumar, S., Sharma, K. C., Bhakar, R, S. P. Simon & Rana, A. (2022). “Flexible Ramp Products: A Solution to Enhance Power System Flexibility”. Renewable and Sustainable Energy Reviews, 162, p.112429. (SCI, IF:16.79)
  4. Sreekumar, S., Sharma, K. C., & Bhakar, R. (2021). “Multi-interval Solar ramp Product for Power System Flexibility Enhancement”. IEEE System Journal, 15 (1), p. 170-179. (SCI, IF:4.8)
  5. Sreekumar, S., Sharma, K. C. (2020). & Bhakar, R. (2020). “Grey System Theory based Direct Net Load Forecasting”. Technology and Economics of Smart Grids and Sustainable Energy, 5(21), p.1-14. (ESCI)
  6. Sreekumar, S., Sharma, K. C., & Bhakar, R. (2019). “Gumbel copula based multi-interval ramp product for power system flexibility enhancement”. International Journal of Electrical Power & Energy Systems, 112, p.417-427. (SCI, IF:5.65)
  7. Sreekumar, S., Sharma, K. C., & Bhakar, R. (2018). “Gumbel copula based aggregated net load forecasting for modern power systems”. IET Generation, Transmission & Distribution, 12(19), 4348-4358. (SCI, IF:2.5)
  8. Sreekumar, S., Verma, J., Sujil, A., & Kumar, R. (2017). “Comparative analysis of intelligently tuned support vector regression models for short term load forecasting in smart grid framework”. Technology and Economics of Smart Grids and Sustainable Energy, 2(1), p.1-14. (ESCI)
  9. Sreekumar, S., Verma, J., Sujil, A., & Kumar, R. (2016). “An approach towards real-time short-term load forecasting using grey index models for smart grid framework”. WSEAS Transactions on Power Systems, 11(3), p.147-155. (SCOPUS)
  10. Mathew, A., Sreekumar, S., Khandelwal, S., Kaul, N., & Kumar, R. (2016). “Prediction of surface temperatures for the assessment of urban heat island effect over Ahmedabad city using linear time series model”. Energy and Buildings, 128, 605-616. (SCI, IF: 7.2)
  11. Mathew, A., Sreekumar, S., Khandelwal, S., Kaul, N., & Kumar, R. (2016). “Prediction of Land-Surface Temperatures of Jaipur City Using Linear Time Series Model”. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9(8), 3546-3552. (SCI, IF: 4.71)
  12. Mathew, A., Sreekumar, S., Khandelwal, S., & Kumar, R. (2019). “Prediction of land surface temperatures for surface urban heat island assessment over Chandigarh city using support vector regression model”. Solar Energy, 186, 404-415. (SCI, IF: 7.18)
  13. Sumanth, Y., Jain, A., Sreekumar, S., Bhakar, R. (2021) “Enhancing Power Systems Operational Flexibility with Ramp Products from Flexible Resources”. Electric Power Systems Research, Volume 202, 2022, 107599. (SCI, IF:3.81)
  14. Rana, A., Bhagyasree, B. B., Harini T.M, Sreekumar, S., Raju M. (2023). “Optimisation of Economic and Environmental Dispatch of Power System with and without Renewable Energy Sources”. Distributed Generation and Alternative Energy Journal.  (SCOPUS)
  15. S. Sandhya, S. Sreekumar, S. Singh, D. P. Kothari (2024). “Wind Power Deviation Charge Reduction using Machine Learning”. Distributed Generation and Alternative Energy Journal.  (SCOPUS)
  16. K. Sandhya, Sreekumar, S., S. Singh, A. Rana. (2024). “Wind Power Deviation Charge Reduction using Long Short Term Memory Network”. e-Prime- Advances in Electrical Engineering, Electronics and Energy. (SCOPUS)

INTERNATIONAL CONFERENCES

  1. Sreekumar, S., Sharma, K. C., & Bhakar, R. (2016, November). “Optimized support vector regression models for short-term solar radiation forecasting in the smart environment”. IEEE Region 10 Conference (TenCon) (pp. 1929-1932).
  2. Sreekumar, S., Bhakar R, Chawda S, Jain A, Prakash V. One Day Ahead Indian Electricity Price Forecasting Using Intelligently Tuned SVR. In 2020 IEEE International Power and Renewable Energy Conference (pp. 1-6). IEEE.
  3. Sreekumar, S., Sharma, K. C., & Bhakar, R. (2019, December). “Deviation charge reduction of aggregated wind power generation using intelligently tuned support vector regression”. IEEE 8th International Conference on Power Systems (ICPS) (pp. 1-6).
  4. Sreekumar, S., Verma, J., Sujil, A., & Kumar, R. (2016, March). “New short-term load forecasting models based on growth rate scaling and simple averaging”. IEEE 6th International Conference on Power Systems (ICPS) (pp. 1-6).
  5. Sreekumar, S., S., Gupta, A., Agarwal, V., & Bhakar, R. (2016, December). “Matrix-based univariate and multivariate linear similar day approach towards short term solar radiation forecasting”. National Power Systems Conference (NPSC-IEEE) (pp. 1-5).
  6. Sreekumar, S., & Bhakar, R. (2018, July). “Solar Power Prediction Models: Classification Based on Time Horizon, Input, Output, and Application”. International Conference on Inventive Research in Computing Applications (ICIRCA-IEEE) (pp. 67-71).
  7. Sreekumar, S., Verma, J., Sujil, A., & Kumar, R. (2016, July). “Matrix-based univariate and multivariate linear approach towards Long Term Electrical Load Forecasting”. IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES) (pp. 1-5).
  8. Sreekumar, S., Verma, J., Sujil, A., & Kumar, R. (2015, December). “One day forth forecasting of hourly electrical load using genetically tuned Support Vector Regression for smart grid framework”. 2nd IEEE International Conference on Recent Advances in Engineering & Computational Sciences (RAECS) (pp. 1-6).
  9. Sreekumar, S., Verma, J., Sujil, A., & Kumar, R. (2014, December). “Short term load forecasting using artificial neural networks: A state of the art”. 3rd International Conference on Advance Trend in Engineering, Technology, and Research (ICATETR-2014) (pp. 1-6).
  10. Sreekumar, S., Jain, A., Bhakar, R., Simon, S., P. (2022) “A Modified Bottom Up Approach to Estimate Expected Demand Reduction During a Rare Event”, International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON) 2022, Banglore, India.
  11. Prakash, V., Sharma, K. C., Bhakar, R., Tiwari, H. P., Sreekumar, S., S., Chawda, S., & Teotia, F. (2017, July). “Primary frequency response with stochastic scheduling under uncertain photovoltaic generation”. IEEE Power & Energy Society General Meeting (pp. 1-5).
  12. Sujil, A., Sreekumar, S., Verma, J., & Kumar, R. (2017, Feb.). “Matrix-based univariate and multivariate short term load forecasting for power system”. IEEE Second International Conference on Electrical, Computer and Communication Technologies (ICECCT).
  13. Chawda, S., Mathuria, P., Bhakar, R., Sreekumar, S., Prakash, V., & Teotia, F. (2017, October). “Retailer risk-based trading decision-making model under-price responsive demand”. IEEE 6th International Conference on Computer Applications In Electrical Engineering-Recent Advances (CERA) (pp. 169-174).
  14.  Chawda, S., Mathuria, P., Bhakar, R., Sreekumar, S. (2020). “Dynamic Sale Price Setting for Load Serving Entity’s Profit Maximization”. IEEE Power & Energy Society General Meeting (pp. 1-5).
  15. S. Kumari, A. Rathi, A. Chouhan, Sreekumar, S. and S. Singh (2022). “Wind Power Forecasting Models: Classification based on Type of Model, Time Horizon and Inputs, Error Metrics and Applications”. International Conference on Electronics and Renewable Systems (ICEARS 2022).
  16. S. Kumari, Sreekumar, S., S. Singh. and D. P. Kothari (2022). “Comparison Among ARIMA, ANN, and SVR Models for Wind Power Deviation Charge Reduction”. IEEE International Conference on “Machine Learning, Big Data, Cloud and Parallel Computing: Trends, Perspectives, and Prospects” (Com-IT-Con-2022).
  17. S. Kumari, Sreekumar, S., S. Singh, and D. P. Kothari (2022). “Wind Power Deviation Charge Reduction Using Time Series Models”. IEEE International Conference on “Machine Learning, Big Data, Cloud and Parallel Computing: Trends, Perspectives and Prospects” (Com-IT-Con-2022).
  18. L. R. Devi and Sreekumar, S. (2023).  “A Review on Indian EV Adoption Policy”. IEEE 2nd International Conference on Industrial Electronics: Developments & Applications (ICIDeA) (ICIDeA-2023).
  19. L. R. Devi and Sreekumar, S. (2023). “Design and Analysis of Multifunctional Convertible Electric Wheelchair using a Joystick”. IEEE 2nd International Conference on Industrial Electronics: Developments & Applications (ICIDeA) (ICIDeA-2023).
  20. R. Kumar, B. S. Mishra, B. Das, C. Singh, and Sreekumar, S. (2024). “Solar Power Prediction Using LSTMWaOA Model”. 1st IEEE International Conference on Trends in Engineering and Technologies (ICTEST-2024).
  21. C. Mahato, M. Singha, C. Singh, and Sreekumar, S. (2024). “Wind Power Forecasting Using LSTM-Grid Search”. 1st IEEE International Conference on Trends in Engineering and Technologies (ICTEST-2024).
  22. S. Intodia, A. Kakati, C. Singh, and Sreekumar, S. (2024). “Net Load Forecasting Using LSTMOOA Model”. 1st IEEE International Conference on Trends in Engineering and Technologies (ICTEST-2024).
  23. R. Ningombam, C. Singh, and Sreekumar, S. (2024). “Inertia Forecasting using Hybrid Machine Learning”. 1ST International Conference on Innovative Sustainable Technologies for Energy, Mechatronics and Smart Systems (Technically co-sponsored by IEEE UP Section)”. Dehradun, Uttarakhand, India.
  24. H. Vijapuram, Harathi A, G. N. Bhargavi, C. Singh, and Sreekumar S., “The Impact Analysis of Different Activation Functions on CNN-based Reduced OPF”.  IEEE 11th Power India International Conference (PIICON-2024), Jaipur, India (Accepted)
  25. E. R. Rohith, M. Sreenidhi, and S. S. Afreen, C. Singh, and Sreekumar S., “Power System Inertia Forecasting Using a Hybrid Deep Learning Model”.  IEEE 11th Power India International Conference (PIICON-2024), Jaipur, India (Accepted)

INTERNATIONAL BOOKS

  • Sreenu Sreekumar, Jatin Verma & Rajesh Kumar. (November 24, 2016) “An Approach Towards Short Term Load Forecasting for Smart Grid”, LAP LAMBERT Academic Publishing, ISBN-10: 3659940496, ISBN-13: 9783659940491.

PhD. SCHOLARS (Completed): Nil

PhD. SCHOLARS (On Going): 

  • Miss. Lourembam Ranjita Devi (Conferences: 2, Journal: 0)
  • Mr. Chandransh Singh (Conferences: 6, Journal: 0)

PG SCHOLARS (Completed):

  • Miss. Rabina Ningombam (Conferences: 1, Journal: 0)

UG SCHOLARS (Completed): 

Group 1 (Conferences: 1, Journal: 0)

  • Ritesh Kumar
  • Bhagya Shree Mishra
  • Bhargab Das

Group 2  (Conferences: 1, Journal: 0)

  • Chandan Mahato
  • Mrinmoy Singha

Group 3  (Conferences: 1, Journal: 0)

  • Sharad Intodia
  • Anshuman Kakati

UG SCHOLARS (On Going): 

Group 1 (Conferences: 0, Journal: 0)

  • Shashank Dahewar
  • Sadman Saquib

Group 2 (Conferences: 0, Journal: 0)

  • Sumon Sohail
  • Tuyam Tushar Medhi

Group 3 (Conferences: 0, Journal: 0)

  • Avula Muneeswari
  • Sachin Singh
  • Liton Mia