A) Retail/E-commerce inventory (forecasting product demand for stores or online sales) B) Manufacturing raw materials (forecasting material needs for production) C) Distribution/logistics (forecasting ...

Kenyan scientist Fridah Mokaya made history as the first black woman to earn a PhD in Nuclear Physics from the University of ...

Pete Crow-Armstrong’s breakout season might have been the story of the year for the Chicago Cubs in 2025. Before this past season, Armstrong had never put it together offensively. But once the Cubs ...

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 ...

This project explores two different investigation using methods of machine learning and hybrid approach to predict the peak energy consumption in Ireland and energy production in Portugal based on ...

Abstract: The optimal utilization of electrical energy is becoming increasingly necessary due to the rapid growth in the population. Several techniques have been designed to ensure judicious use of ...

A Microsoft model can make accurate 10-day forecasts quickly, an analysis found. And, it’s designed to predict more than weather. By Rebecca Dzombak Weather forecasters rely on models to help them ...

Abstract: Energy Performance Forecasting in Buildings Using Machine Learning Algorithms, addresses the critical issue of energy consumption and efficiency in buildings. The primary problem it seeks to ...