How Should Machine Learning Be Successfully Used for Wind Speed Vertical Extrapolation?

Engineering

• Random Forest 100%
• Learning System 100%
• Wind Resource 66%
• Conventional Technique 50%
• Compressed Air Motors 50%
• Machine Learning Technique 33%
• Performance Improvement 16%
• Conventional Method 16%
• Common Practice 16%
• Turbulent Kinetic Energy 16%
• Learning Approach 16%
• Real World Application 16%
• Optical Radar 16%
• Input Feature 16%
• Logarithmic Law 16%
• Mean Absolute Error 16%

Earth and Planetary Sciences

• Machine Learning 100%
• Wind Velocity 100%
• Power Law 36%
• Wind Resources 36%
• Compressed Air Motors 27%
• Atmospherics 9%
• Oklahoma 9%
• Kinetic Energy 9%
• Sonic Anemometer 9%
• Optical Radar 9%
• Observatory 9%