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

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

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

Google DeepMind, a London-based AI research lab, has been in the business of machine learning-based weather forecasting for several years, but back in June announced a new experimental AI model ...

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

Meteorologists and other environmental scientists rely on numerical forecast models to aid in developing a weather outlook. These models, such as the American GFS model and European ECMWF model, use ...

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 ...

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

Drawing on research, ESMT’s Oliver Binz shows why breaking profitability into its underlying drivers — rather than treating ...