Feature selection for accurate short-term forecasting of local wind-speed

INIS

• speed 100%
• forecasting 100%
• wind 100%
• weather 50%
• data 33%
• demand 33%
• renewable energy sources 33%
• gain 16%
• learning 16%
• supply 16%
• accuracy 16%
• output 16%
• increasing 16%
• grids 16%
• scotland 16%
• computational fluid dynamics 16%
• italy 16%
• machine learning 16%
• energy supplies 16%
• multivariate analysis 16%
• fossil fuels 16%
• time-series analysis 16%
• nigeria 16%
• energy facilities 16%

Engineering

• Renewables 100%
• Feature Extraction 100%
• Renewable Energy 100%
• Fossil Fuel 50%
• Potential Benefit 50%
• Increasing Demand 50%
• Machine Learning Method 50%
• Statistical Forecasting 50%
• Computational Fluid Dynamics 50%