Buildings produce a large share of New York's greenhouse gas emissions, but predicting future energy demand—essential for ...

Key market opportunities in AI for energy and power lie in enhancing efficiency and optimization, especially in machine ...

The market opportunities for new product forecasting AI are driven by increasing smart devices, IoT adoption, cloud-based systems, and digital transformation. Key trends include AI-powered predictive ...

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...

When supply chain practitioners think about forecasting, they focus on demand forecasting. Demand forecasting is essential, but the number of different forecasts that an effective organization should ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...