Bianca-Iuliana Chisilev

Assessment of machine learning methods for urban air pollution forecasting

A European, multi-country benchmark for direct, multi-horizon PM2.5 forecasting (1/3/6/12/24 h) that compares statistical, tabular machine learning, and sequence deep learning models under a single, reproducible experimental design is presented.