Hybrid Information Systems

Optimizing bidirectional long short-term memory networks for univariate time series forecasting: a comprehensive guide

Mostafa Abotaleb

Pushan Kumar Dutta

Abstract

This chapter undertakes an in-depth examination of refining bidirectional long short-term memory (BiLSTM) networks for univariate time series forecasting, a pivotal segment within predictive analytics that finds relevance across diverse sectors such as finance, healthcare, and energy. Despite the prevalent use of BiLSTM models in forecasting multivariate time series, tailoring these models for univariate data – which consists of observations of a single time-dependent variable – introduces distinct challenges and opportunities. The discussion commences with a detailed introduction ...