Spatio-Temporal Feature Extraction in Sensor Networks for Enhancing Wind Forecasting Accuracy

Key Points

• The aim is to improve the accuracy of wind forecasting by utilizing spatio-temporal feature extraction from sensor networks.
• Used sensor networks for data collection
• Applied spatio-temporal feature extraction techniques
• Analyzed forecasting accuracy through comparative metrics
• Achieved significant improvement in forecasting accuracy
• Identified key spatio-temporal features influencing wind patterns
• Demonstrated the effectiveness of sensor data integration

Abstract