Hybrid Information Systems

Optimizing convolutional neural networks for univariate time series forecasting: a comprehensive guide

Mostafa Abotaleb

Pushan Kumar Dutta

Abstract

This chapter delves into the nuanced process of optimizing convolutional neural networks (CNNs) for univariate time series forecasting, an area of critical importance in predictive analytics, spanning various industries, including finance, healthcare, and energy. While CNN models are traditionally celebrated for their prowess in image and spatial data analysis, adapting them for univariate time series data – characterized by sequential observations of a single variable – presents unique challenges and avenues for exploration. The discussion begins with an insightful overview of CNN architectures, ...