A short-term power output forecasting based on augmented naïve bayes classifiers for high wind power penetrations

Engineering

• Wind Power 100%
• Power Output 100%
• High Wind 100%
• Bayes Classifier 100%
• Renewables 40%
• Learning Technique 20%
• Fossil Fuel 20%
• Power System Operation 20%
• Power System Planning 20%
• Wind Resource 20%
• Climate Change 20%
• Principal Components 20%
• Clean Energy 20%
• Wind Direction Prediction 20%
• Pollutant Gas 20%
• Greenhouse Gas 20%
• Climatic Change 20%
• Compressed Air Motors 20%

Computer Science

• Prediction Model 100%
• Bayes Classifier 100%
• Nave Bayes 100%
• Renewable Power 66%
• Classification Models 33%
• Single Prediction 33%
• Ensemble Learning 33%
• Systems Planning 33%
• System Operation 33%
• Learning Technique 33%
• Principal Components 33%
• Climatic Change 33%

Earth and Planetary Sciences

• Wind Power 100%
• Meteorological Factors 40%
• Climate Change 20%
• Wind Velocity 20%
• Wind Direction 20%
• Environmental Pollution 20%
• Clean Energy 20%
• Greenhouse Gas 20%
• Wind Resources 20%
• Air Pollutant 20%
• Compressed Air Motors 20%
• Fossil Fuel 20%