All Stories

  1. A robust decomposition-denoising deep learning framework with dynamic intraperiod ramping for cost-effective balancing market operation

    Article • Applied Soft Computing, June 2026, Elsevier

    Dr. Sreenu Sreekumar

  2. A comprehensive review of electric motors for electric vehicles: Comparing traditional and emerging technologies

    Article • Progress in Engineering Science, March 2026, Elsevier

    Dr. Sreenu Sreekumar

  3. Balancing markets and imbalance forecasting: A pathway towards net zero grids

    Article • Applied Energy, January 2026, Elsevier

    Dr. Sreenu Sreekumar

  4. Bayesian-Optimized Predictive Modelling of Electric Arc Furnace Power Consumption for Industrial Deployment

    Article • IEEE Access, January 2026, Institute of Electrical & Electronics Engineers (IEEE)

    Dr. Sreenu Sreekumar

  5. Accurate induction motor fault classification using infrared thermal images

    Article • Infrared Physics & Technology, November 2025, Elsevier

    Dr. Sreenu Sreekumar

  6. A novel dynamic imbalance volume forecasting model for balancing market optimization

    Article • Archiv für Elektrotechnik, August 2025, Springer Science + Business Media

    Dr. Sreenu Sreekumar

  7. A Comparative Study of Transformers Based Machine Learning Models for Solar PV Power Forecasting

    Article • July 2025, Institute of Electrical & Electronics Engineers (IEEE)

    Dr. Sreenu Sreekumar

  8. Predictive Models for Voltage Degradation in PEM Fuel Cells Using Gradient Boosting and LSTM Networks

    Article • July 2025, Institute of Electrical & Electronics Engineers (IEEE)

    Dr. Sreenu Sreekumar

  9. Electric motor modeling, analysis, and design for E-mobility applications: A state of the art

    Article • e-Prime - Advances in Electrical Engineering Electronics and Energy, June 2025, Elsevier

    Dr. Sreenu Sreekumar

  10. Box–Cox integrated sARIMA model for day-ahead inertia forecasting

    Article • Archiv für Elektrotechnik, February 2025, Springer Science + Business Media

    Dr. Sreenu Sreekumar

  11. Power System Inertia Forecasting Using a Hybrid Deep Learning Model

    Article • December 2024, Institute of Electrical & Electronics Engineers (IEEE)

    Dr. Sreenu Sreekumar

  12. The Impact Analysis of Different Activation Functions on CNN-based Reduced OPF

    Article • December 2024, Institute of Electrical & Electronics Engineers (IEEE)

    Dr. Sreenu Sreekumar

  13. Inertia Forecasting using Hybrid Machine Learning

    Article • April 2024, Institute of Electrical & Electronics Engineers (IEEE)

    Dr. Sreenu Sreekumar

  14. Net Load Forecasting Using LSTM_OOA Model

    Article • April 2024, Institute of Electrical & Electronics Engineers (IEEE)

    Dr. Sreenu Sreekumar

  15. Solar Power Prediction Using LSTM_WaOA Model

    Article • April 2024, Institute of Electrical & Electronics Engineers (IEEE)

    Dr. Sreenu Sreekumar

  16. Wind Power Forecasting Using LSTM-Grid Search

    Article • April 2024, Institute of Electrical & Electronics Engineers (IEEE)

    Dr. Sreenu Sreekumar

  17. Wind power deviation charge reduction using long short term memory network

    Article • e-Prime - Advances in Electrical Engineering Electronics and Energy, March 2024, Elsevier

    Dr. Sreenu Sreekumar

  18. Wind Power Deviation Charge Reduction using Machine Learning

    Article • Distributed Generation & Alternative Energy Journal, October 2023, River Publishers

    Dr. Sreenu Sreekumar

  19. A Review on Indian EV Adoption Policy

    Article • September 2023, Institute of Electrical & Electronics Engineers (IEEE)

    Dr. Sreenu Sreekumar

  20. Design and Analysis of Multifunctional Convertible Electric Wheelchair using a Joystick

    Article • September 2023, Institute of Electrical & Electronics Engineers (IEEE)

    Dr. Sreenu Sreekumar

  21. Optimisation of Economic and Environmental Dispatch of Power System with and without Renewable Energy Sources

    Article • Distributed Generation & Alternative Energy Journal, January 2023, River Publishers

    Dr. Sreenu Sreekumar

  22. A Modified Bottom Up Approach to Estimate Expected Demand Reduction During a Rare Event

    Article • December 2022, Institute of Electrical & Electronics Engineers (IEEE)

    Dr. Sreenu Sreekumar

  23. Aggregated Net-load Forecasting using Markov-Chain Monte-Carlo Regression and C-vine copula

    Article • Applied Energy, December 2022, Elsevier

    Dr. Sreenu Sreekumar

  24. Multi interval Zero Carbon Flexible Ramp Product

    Article • Electric Power Systems Research, November 2022, Elsevier

    Dr. Sreenu Sreekumar

  25. Flexible Ramp Products: A solution to enhance power system flexibility

    Article • Renewable and Sustainable Energy Reviews, July 2022, Elsevier

    Dr. Sreenu Sreekumar

  26. Comparison Among ARIMA, ANN, and SVR Models for Wind Power Deviation Charge Reduction

    Article • May 2022, Institute of Electrical & Electronics Engineers (IEEE)

    Dr. Sreenu Sreekumar

  27. Wind Power Deviation Charge Reduction Using Time Series Models

    Article • May 2022, Institute of Electrical & Electronics Engineers (IEEE)

    Dr. Sreenu Sreekumar

  28. Wind Power Forecasting Models: Classification based on Type of Model, Time Horizon and Inputs, Error Metrics and Applications

    Article • March 2022, Institute of Electrical & Electronics Engineers (IEEE)

    Dr. Sreenu Sreekumar

  29. Enhancing power systems operational flexibility with ramp products from flexible resources

    Article • Electric Power Systems Research, January 2022, Elsevier

    Dr. Sreenu Sreekumar

  30. Grey System Theory Based Net Load Forecasting for High Renewable Penetrated Power Systems

    Article • Technology and Economics of Smart Grids and Sustainable Energy, October 2020, Springer Science + Business Media

    Dr. Sreenu Sreekumar

  31. One Day Ahead Indian Electricity Price Forecasting Using Intelligently Tuned SVR

    Article • October 2020, Institute of Electrical & Electronics Engineers (IEEE)

    Dr. Sreenu Sreekumar

  32. Dynamic Sale Price Setting for Load Serving Entity’s Profit Maximization

    Article • August 2020, Institute of Electrical & Electronics Engineers (IEEE)

    Dr. Sreenu Sreekumar

  33. Multi-Interval Solar Ramp Product to Enhance Power System Flexibility

    Article • IEEE Systems Journal, January 2020, Institute of Electrical & Electronics Engineers (IEEE)

    Dr. Sreenu Sreekumar

  34. Deviation Charge Reduction of Aggregated Wind Power Generation using Intelligently Tuned Support Vector Regression

    Article • December 2019, Institute of Electrical & Electronics Engineers (IEEE)

    Dr. Sreenu Sreekumar

  35. Gumbel copula based multi interval ramp product for power system flexibility enhancement

    Article • International Journal of Electrical Power & Energy Systems, November 2019, Elsevier

    Dr. Sreenu Sreekumar

  36. Prediction of land surface temperatures for surface urban heat island assessment over Chandigarh city using support vector regression model

    Article • Solar Energy, July 2019, Elsevier

    Dr. Sreenu Sreekumar, Dr Rajesh Kumar

  37. Gumbel Copula Based Aggregated Net Load Forecasting For Modern Power Systems

    Article • IET Generation Transmission & Distribution, August 2018, the Institution of Engineering and Technology (the IET)

    Dr. Sreenu Sreekumar

  38. Solar Power Prediction Models: Classification Based on Time Horizon, Input, Output and Application

    Article • July 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Dr. Sreenu Sreekumar

  39. Retailer risk-based trading decision making model under price responsive demand

    Article • October 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Dr. Sreenu Sreekumar

  40. Primary frequency response with stochastic scheduling under uncertain photovoltaic generation

    Article • July 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Dr. Sreenu Sreekumar

  41. Matrix based univariate and multivariate short term load forecasting for power system

    Article • February 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Dr. Sreenu Sreekumar, Dr Rajesh Kumar

  42. Comparative Analysis of Intelligently Tuned Support Vector Regression Models for Short Term Load Forecasting in Smart Grid Framework

    Article • Technology and Economics of Smart Grids and Sustainable Energy, December 2016, Springer Science + Business Media

    Dr. Sreenu Sreekumar, Dr Rajesh Kumar

  43. Matrix based univariate and multivariate linear similar day approach towards short term solar radiation forecasting

    Article • December 2016, Institute of Electrical & Electronics Engineers (IEEE)

    Dr. Sreenu Sreekumar

  44. Optimized Support Vector Regression models for short term solar radiation forecasting in smart environment

    Article • November 2016, Institute of Electrical & Electronics Engineers (IEEE)

    Dr. Sreenu Sreekumar

  45. Prediction of surface temperatures for the assessment of urban heat island effect over Ahmedabad city using linear time series model

    Article • Energy and Buildings, September 2016, Elsevier

    Dr. Sreenu Sreekumar, Dr Rajesh Kumar

  46. Prediction of Land-Surface Temperatures of Jaipur City Using Linear Time Series Model

    Article • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, August 2016, Institute of Electrical & Electronics Engineers (IEEE)

    Dr. Sreenu Sreekumar, Dr Rajesh Kumar

  47. Matrix based univariate and multivariate linear approach towards Long Term electrical Load Forecasting

    Article • July 2016, Institute of Electrical & Electronics Engineers (IEEE)

    Dr. Sreenu Sreekumar, Dr Rajesh Kumar

  48. New Short Term Load Forecasting models based on growth rate scaling and simple averaging

    Article • March 2016, Institute of Electrical & Electronics Engineers (IEEE)

    Dr. Sreenu Sreekumar, Dr Rajesh Kumar

  49. One day forth forecasting of hourly electrical load using genetically tuned Support Vector Regression for smart grid frame work

    Article • December 2015, Institute of Electrical & Electronics Engineers (IEEE)

    Dr. Sreenu Sreekumar, Dr Rajesh Kumar