A short-term wind speed forecasting model based on a multi-variable long short-term memory network

Keyphrases

• Forecasting Model 100%
• Wind Speed 100%
• Multivariable 100%
• Long Short-term Memory Network 100%
• Short-term Wind Speed Forecasting 100%
• Autoregressive Integrated Moving Average (ARIMA) 66%
• Long Short-term Memory Network Model 66%
• Network Method 66%
• Mean Absolute Error 33%
• Training Set 33%
• Temperature-humidity Index 33%
• Feature Selection 33%
• Wind Energy 33%
• Forecasting Techniques 33%
• Root Mean Square Error 33%
• Data-centric 33%
• Meteorological Variables 33%
• Pearson Correlation Coefficient 33%
• Hourly Data 33%
• Short-term Wind Speed 33%
• Wind Speed Data 33%
• Observation Station 33%
• Mean Bias Error 33%
• Mean Absolute Percentage Error 33%
• Ground-based Observations 33%
• Air Pressure 33%
• Error Metrics 33%

Engineering

• Long Short-Term Memory 100%
• Network Model 40%
• Moving Average 40%
• Experimental Result 20%
• Energy Engineering 20%
• Feature Extraction 20%
• Mean Absolute Error 20%
• Wind Power 20%
• Collected Data 20%
• Pearsons Linear Correlation Coefficient 20%
• Root Mean Square Error 20%
• Metrics 20%
• Air Pressure 20%
• Mean Bias Error 20%
• Ground Observation 20%
• Speed Data 20%