Abstract: The recent emergence of time-series forecasting foundation models allows for prediction of any time series without the need of extra training. To select the best foundation model, ...

The vast majority of asset management companies today use model portfolios. One question we’ve been asked many times is whether ValuEngine stock ratings can be used for portfolio management or merely ...

Dominion Energy says its upcoming $11-a-month rate hike is driven by grid upgrades and inflation — not Virginia’s rapidly growing data-center industry. Critics note that Virginia hosts one of the ...

Time Series Forecasting Engine is a comprehensive, production-ready Python framework for advanced time series forecasting. It combines statistical models (ARIMA), machine learning approaches (Prophet) ...

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 ...

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 ...

Temperature impacts every part of the world. Meteorological analysis and weather forecasting play a crucial role in sustainable development by helping reduce the damage caused by extreme weather ...

1 School of Big Data and Software Engineering, Chongqing University, Chongqing, China 2 School of Computer and Information Science, Chongqing Normal University, Chongqing, China Introduction: Time ...