All Stories

  1. Short-Medium-Term Solar Irradiance Forecasting with a CEEMDAN-CNN-ATT-LSTM Hybrid Model Using Meteorological Data
  2. Fault Prediction in Wind Turbines: A Recurrent Neural Network Approach for IGBT Failure Detection
  3. A Novel Data-Driven Approach with a Long Short-Term Memory Autoencoder Model with a Multihead Self-Attention Deep Learning Model for Wind Turbine Converter Fault Detection
  4. Wind turbine fault detection based on the transformer model using SCADA data
  5. Anomaly-based fault detection in wind turbines using unsupervised learning: a comparative study.
  6. Classification of Highly Imbalanced Supervisory Control and Data Acquisition Data for Fault Detection of Wind Turbine Generators
  7. Analysis of the Annual Energy Production of the Villonaco Wind Farm
  8. Statistical Analysis of Villonaco Wind Farm Annual Energy Production
  9. Correlation between the wind speed and the elevation to evaluate the wind potential in the southern region of Ecuador
  10. Lifecycle Assessment of Electricity Generation transition in Ecuador
  11. Wind power forecasting for the Villonaco wind farm
  12. Using SCADA Data for Wind Turbine Condition Monitoring: A Systematic Literature Review
  13. Wind Energy Forecasting with Artificial Intelligence Techniques: A Review
  14. Wind power forecasting: A systematic literature review
  15. Power Performance Verification of a Wind Turbine by using the Wilcoxon Signed-Rank Test
  16. Wind Power Resource Assessment in Complex Terrain: Villonaco Case-study Using Computational Fluid Dynamics Analysis
  17. Modeling of a Robust Confidence Band for the Power Curve of a Wind Turbine
  18. Power Performance Verification of a Wind Farm Using the Friedman’s Test
  19. Frequency-domain analysis of performance of a wind turbine