A meteorology-free wind power forecasting using a hybrid physics-aware, SCADA-only ensemble residual learning

Computer Science

• Experimental Result 25%
• Extreme Gradient Boosting 100%
• Hybrid Architecture 25%
• Interpretability 25%
• Learning System 50%
• Long Short-Term Memory Network 25%
• Machine Learning 50%
• Meteorology 100%
• Predictive Accuracy 25%
• Predictive Performance 25%
• Regression Method 25%
• SHapley Additive exPlanation 25%

Chemical Engineering

• Learning System 50%
• Long Short-Term Memory Network 25%
• Physics Informed Neural Network 75%
• Xgboost 100%

Material Science

• Xgboost 100%