Abstract: Long-term time series forecasting (LTF) aims to predict time series over extended time horizons, offering significant cross-domain advantages and competitive insights. However, there is no ...

Abstract: Multivariate time series (MTS) forecasting appears in many applied settings, ranging from finance and healthcare to energy systems, climate analysis, and IoT-based platforms. In these fields ...

Americans seem to like shows about drug runners almost as much as they like the drugs themselves. And while many of the greatest narco stories are police procedurals like “The Wire,” there are a ...

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 ...

This project explores retail chain performance in New Zealand by combining sales forecasting, regional sales analysis, and supply chain insights. Using real data and Python (including Prophet for ...

Developed during my internship at Tata Motors, this interactive dashboard monitors and analyzes electrical power usage using Dash and Plotly. It offers shift-wise analysis, trend/seasonality detection ...