An end-to-end data engineering pipeline and multivariate time-series forecasting engine utilizing PyTorch Forecasting and Temporal Fusion Transformers for high-scale demand modeling.

Abstract: Probabilistic forecasting of multivariate time series is essential for various downstream tasks. Most existing approaches rely on the sequences being uniformly spaced and aligned across all ...

vectfit3.py is the implementation of the Fast Relaxed Vector Fitting algorithm in python. This algorithm was originally developed by B. Gustavsen and A. Semlyem 1 and the original code was written in ...

Abstract: Classical approaches to modelling dynamic or multivariate impedance spectroscopy data rely on either fitting individual spectra using an iterative procedure or using a joint least-squares ...