Abstract: This paper introduces a new hybrid time series forecasting technique to obtain an efficient and accurate daily crude oil prices forecast. The proposed hybrid technique combines the features ...

Are you still spending hours on repetitive tasks in Excel? What if you could reclaim that time and focus on what really matters? Excel Off The Grid explains how the latest features in Excel can ...

In this tutorial, we build an advanced agentic AI system that autonomously handles time series forecasting using the Darts library combined with a lightweight HuggingFace model for reasoning. We ...

1 Faculty of Electrical Technology and Engineering, Universiti Teknikal Malaysia Melaka (UTeM), Melaka, Malaysia. 2 Faculty of Electrical & Electronics Engineering Technology, Universiti Malaysia ...

Abstract: In this paper, we present a novel method for advancing time series forecasting by representing discretized time series data through de Bruijn Graphs (dBGs). This method harnesses the ...

This repository contains the source code associated with the publication Winner-Takes-All for Multivariate Probabilistic Time Series Forecasting (ICML 2025). We introduce TimeMCL, a method leveraging ...

Imagine this: you’re managing a sprawling Excel spreadsheet with thousands of rows of data. You need to identify high-priority tasks, flag anomalies, or categorize entries based on specific rules.