Abstract: In complex process industries, multivariate time sequences are omnipresent, whose nonlinearities and dynamics present two major challenges for soft sensing of important quality variables.
Abstract: This article presents a data-driven modeling method founded on deep learning (DL) to precisely model and identify a dc–dc bidirectional converter that is widely used in renewable energy ...