Merlinda Lavenia

Multi-component hybrid deep learning model for railway passenger demand forecasting

This study presents a systematic evaluation of decomposition-based forecasting frameworks for railway passenger demand prediction by integrating Seasonal-Trend Decomposition using Loess, EMD applied to residual components, and Fuzzy C-Means clustering to demonstrate the framework's robustness and generalization capabil...