Supply chain leaders are increasingly turning to artificial intelligence to revolutionize their demand-forecasting and inventory-management strategies. This shift comes as traditional forecasting ...

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

The study identifies a less visible but increasingly important countertrend: the rapid growth in energy consumption driven by AI itself. Training large machine learning models, running continuous ...

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 ...

Legacy load forecasting models are struggling with ever-more-common, unpredictable events; power-hungry AI offers a solution.

A new research paper shows the approach performs significantly better than the random-walk forecasting method.

Vassili Kitsios is a senior research scientist at CSIRO, a co-chair of the Machine Learning for Climate and Weather Working Group of the Australian Climate Community Earth System Simulator National ...