All Stories

  1. Appliance Level Short-term Load Forecasting via Recurrent Neural Network
  2. Computational and numerical analysis of AC optimal power flow formulations on large-scale power grids
  3. Short-Term Forecast Analysis on Wind Power Generation Data
  4. Detection of the False Data Injection Attack in Home Area Networks using ANN
  5. Multi-Agent Systems for Resource Allocation and Scheduling in a Smart Grid
  6. Investigation of Price-Feature Selection Algorithms for the Day-Ahead Electricity Markets
  7. Deep Neural Networks (DNN) for Day-Ahead Electricity Price Markets
  8. Optimal Operation of Smart Home Appliances using Deep Learning
  9. Residential Load Forecasting Using Deep Neural Networks (DNN)
  10. Optimal Operation of Residential EVs using DNN and Clustering based Energy Forecast
  11. An Object Oriented Graphical User Interface (GUI) for Optimal Placement of Phasor Measurement Units
  12. Short-Term Seasonal Energy Forecasting
  13. Evaluation of PMU Placements with SORI and ORC Indices for IEEE Test Feeders
  14. Two-Stage Load Forecasting for Residual Reduction and Economic Dispatch Using PJM Datasets
  15. Uncertainty quantification of wind penetration and integration into smart grid: A survey
  16. A constrained topological decomposition method for the next-generation smart grid
  17. Clustering analytics for streaming smart grid datasets