Exploiting Functional Time Series Prediction for PM2.5 Based on Multivariate Variational Mode Decomposition and Anomaly Detection
ABSTRACT This paper presents a novel approach to high‐frequency time series forecasting in the context of functional time series, addressing challenges such as data complexity a...