Nawisa Jullapech

Recurrent Deep Learning Models for PM2.5 Time Series Forecasting in Northern Thailand

Forecasting PM2.5 concentrations remains a challenging data science problem because of strong nonlinearity, temporal dependence, and pronounced nonstationarity associated with seasonal and episodic pollution events. This study presents a comparative evaluation of recurrent neural network architectures for one-day-ahead...