Exo-Spacetimeformer: Time Series Prediction with External Forecast Integration
Keywords: spacetimeformer, PM2.5, air quality forecasting, Exo-Spacetimeformer, air pollution forecasting
TL;DR: The Exo-Spacetimeformer enhances PM2.5 air quality predictions by incorporating external factors like weather and traffic.
Abstract: This study introduces the Exo-Spacetimeformer, an innovative adaptation of the Spacetimeformer model, designed to enhance PM2.5 air quality forecasting by incorporating external factors such as weather conditions, traffic intensity, and air-water-soil temperature differences into its decoder input. Through attention heatmap analysis and performance comparison across different time intervals, the Exo-Spacetimeformer demonstrates improved predictive accuracy over the original model, offering a promising tool for more reliable and comprehensive air pollution forecasting.
Submission Number: 51
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