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

Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...

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

As climate extremes intensify across Africa, the need for accurate and timely weather prediction has become increasingly ...

AI matches daily forecasts like never before, but when it comes to heat, cold, and wind records, HRES physics rules.

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 ...

With legacy load forecasting models struggling with unpredictable events that are becoming ever more common, power-hungry AI ...

The IMF study shows that satellite data such as nighttime lights, air pollution, and vegetation health, when combined with ...

Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...