Excel is everywhere—more than 750 million people open a workbook each year to balance budgets, fine-tune supply chains, and ...

Abstract: As a critical branch of time series analysis, time series forecasting (TSF) focuses on predicting future trends based on historical data, and it plays a pivotal role in a wide range of ...

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 ...

The native just-in-time compiler in Python 3.15 can speed up code by as much as 20% or more, although it’s still experimental. JITing, or “just-in-time” compilation, can make relatively slow ...

The Aurora Borealis put on an impressive showing Tuesday night, and there’s potential for it to dance in the sky again Wednesday. kP indices peaked near 9 p.m. on Nov. 11, allowing for the Northern ...

A significant development is set to transform AI in healthcare. Researchers at Stanford University, in collaboration with ETH Zurich and tech leaders including Google Research and Amazon, have ...

Short-term forecasts are used for staffing hospitals and customer service. Medium-term forecasts are used for purchasing supplies and materials. Long-term forecasts are used for strategic ...

In forecasting economic time series, statistical models often need to be complemented with a process to impose various constraints in a smooth manner. Systematically imposing constraints and retaining ...

Time-series forecasting of fertilizer, diesel, and seed price volatility across Indian states using ARIMA/Prophet with Power BI dashboards and SQL backend.