IEEE

Multivariate Time Series Forecasting Using Multiscale Recurrent Networks With Scale Attention and Cross-Scale Guidance

Abstract: Multivariate time series (MTS) forecasting is considered as a challenging task due to complex and nonlinear interdependencies between time steps and series. With the advance of deep learning ...
IEEE

Internal Short-Circuit Fault Diagnosis for Batteries of Energy Storage Stations Based on Multivariate Multiscale Sample Entropy

Abstract: The safety of lithium-ion batteries (LIBs) in the battery energy storage station (BESS) is attracting increasing attention. To ensure the safe operation of BESS, it is necessary to detect ...