The impact of training period for forecasting clearness index and insolation using support vector regression

Keyphrases

• Air Mass 20%
• Clearness Index 100%
• Cloudiness 20%
• Error Bias 20%
• Forecast Error 20%
• Forecast Model 60%
• Humidity 20%
• Index Forecast 40%
• Insolation 100%
• Interannual Variation 40%
• Least Squares Support Vector Regression (LSSVR) 100%
• Machine Learning 20%
• Mean Absolute Error 20%
• Mean Bias Error 20%
• Model Use 20%
• Negative Effects 20%
• Photovoltaic Power Fluctuation 20%
• Root Mean Square Error 20%
• Training Impact 100%
• Training Period 100%

Engineering

• Absolute Humidity 20%
• Air Masses 20%
• Cloud Cover 20%
• Forecast Error 20%
• Input Data 20%
• Insolation 100%
• Learning System 20%
• Mean Absolute Error 20%
• Mean Bias Error 20%
• Negative Effect 20%
• Photovoltaic Power 20%
• Power Fluctuation 20%
• Root Mean Square Error 20%
• Support Vector Machine 100%

Earth and Planetary Sciences

• Air Masses 50%
• Annual Variation 100%
• Cloud Cover 50%
• Machine Learning 50%
• Root-Mean-Square Error 50%
• Support Vector Machine 100%