Sibo Qi

Efficient and explainable multivariate time series forecasting: a survey of architectures, taxonomies, and open challenges

Abstract The rapid expansion of multivariate time series (MTS) data has made deep learning a central tool for forecasting across industrial and scientific domains. As these architectures move into settings such as clinical decision support, industrial monitoring, and financial ri...