Hybrid Information Systems

Optimizing gated recurrent unit networks for univariate time series forecasting: a comprehensive guide

Mostafa Abotaleb

Pushan Kumar Dutta

Abstract

This chapter offers an in-depth investigation into the adaptation of gated recurrent unit (GRU) networks for univariate time series forecasting, a pivotal subject in predictive analytics that finds relevance across numerous sectors, including finance, healthcare, and energy. Although GRU models are extensively applied in multivariate time series prediction, optimizing them for univariate datasets – marked by a singular time-dependent variable – they introduce distinct challenges while also having useful prospects. The discussion initiates with a detailed introduction to GRU networks, highlighting ...