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January 1, 2026International Journal of Sensor Networks

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

Peiheng Duan Jianyun Pei Shaopeng Yang

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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

Implication

This research demonstrates enhanced wind forecasting accuracy in sensor networks, implying improved prediction reliability.

Abstract

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Cite This Study

Duan et al. (2026) studied this question.

synapsesocial.com/papers/69e9baa885696592c86ecbc9 https://doi.org/10.1504/ijsnet.2026.10077873

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