All Stories

  1. A comprehensive review of electric motors for electric vehicles: Comparing traditional and emerging technologies
  2. Balancing markets and imbalance forecasting: A pathway towards net zero grids
  3. Accurate induction motor fault classification using infrared thermal images
  4. A novel dynamic imbalance volume forecasting model for balancing market optimization
  5. A Comparative Study of Transformers Based Machine Learning Models for Solar PV Power Forecasting
  6. Predictive Models for Voltage Degradation in PEM Fuel Cells Using Gradient Boosting and LSTM Networks
  7. Electric motor modeling, analysis, and design for E-mobility applications: A state of the art
  8. Box–Cox integrated sARIMA model for day-ahead inertia forecasting
  9. Power System Inertia Forecasting Using a Hybrid Deep Learning Model
  10. The Impact Analysis of Different Activation Functions on CNN-based Reduced OPF
  11. Inertia Forecasting using Hybrid Machine Learning
  12. Net Load Forecasting Using LSTM_OOA Model
  13. Solar Power Prediction Using LSTM_WaOA Model
  14. Wind Power Forecasting Using LSTM-Grid Search
  15. Wind power deviation charge reduction using long short term memory network
  16. Wind Power Deviation Charge Reduction using Machine Learning
  17. A Review on Indian EV Adoption Policy
  18. Design and Analysis of Multifunctional Convertible Electric Wheelchair using a Joystick
  19. Optimisation of Economic and Environmental Dispatch of Power System with and without Renewable Energy Sources
  20. A Modified Bottom Up Approach to Estimate Expected Demand Reduction During a Rare Event
  21. Aggregated Net-load Forecasting using Markov-Chain Monte-Carlo Regression and C-vine copula
  22. Multi interval Zero Carbon Flexible Ramp Product
  23. Flexible Ramp Products: A solution to enhance power system flexibility
  24. Comparison Among ARIMA, ANN, and SVR Models for Wind Power Deviation Charge Reduction
  25. Wind Power Deviation Charge Reduction Using Time Series Models
  26. Wind Power Forecasting Models: Classification based on Type of Model, Time Horizon and Inputs, Error Metrics and Applications
  27. Enhancing power systems operational flexibility with ramp products from flexible resources
  28. Grey System Theory Based Net Load Forecasting for High Renewable Penetrated Power Systems
  29. One Day Ahead Indian Electricity Price Forecasting Using Intelligently Tuned SVR
  30. Dynamic Sale Price Setting for Load Serving Entity’s Profit Maximization
  31. Multi-Interval Solar Ramp Product to Enhance Power System Flexibility
  32. Deviation Charge Reduction of Aggregated Wind Power Generation using Intelligently Tuned Support Vector Regression
  33. Gumbel copula based multi interval ramp product for power system flexibility enhancement
  34. Prediction of land surface temperatures for surface urban heat island assessment over Chandigarh city using support vector regression model
  35. Gumbel Copula Based Aggregated Net Load Forecasting For Modern Power Systems
  36. Solar Power Prediction Models: Classification Based on Time Horizon, Input, Output and Application
  37. Retailer risk-based trading decision making model under price responsive demand
  38. Primary frequency response with stochastic scheduling under uncertain photovoltaic generation
  39. Matrix based univariate and multivariate short term load forecasting for power system
  40. Comparative Analysis of Intelligently Tuned Support Vector Regression Models for Short Term Load Forecasting in Smart Grid Framework
  41. Matrix based univariate and multivariate linear similar day approach towards short term solar radiation forecasting
  42. Optimized Support Vector Regression models for short term solar radiation forecasting in smart environment
  43. Prediction of surface temperatures for the assessment of urban heat island effect over Ahmedabad city using linear time series model
  44. Prediction of Land-Surface Temperatures of Jaipur City Using Linear Time Series Model
  45. Matrix based univariate and multivariate linear approach towards Long Term electrical Load Forecasting
  46. New Short Term Load Forecasting models based on growth rate scaling and simple averaging
  47. One day forth forecasting of hourly electrical load using genetically tuned Support Vector Regression for smart grid frame work