Most of us have looked at a fifteen-day forecast and then watched the weather do something completely different. That isn't a ...

A machine-learning correction layer built by a team led from MIT has roughly doubled the accuracy of the European Centre for ...

Add Yahoo as a preferred source to see more of our stories on Google. Hot water in the Gulf made Hurricane Helene rapidly intensify before it made landfall in Florida, via NOAA. Forecast accuracy for ...

The tool boosts the ability of physics- and AI-based forecasting models to predict typical and extreme weather events.

As we close out 2025 and look toward 2026, CFOs of wholesale and trade organizations face a pivotal moment. The old modus operandi — static annual plans, spreadsheet-bound modelling, reactive decision ...

Net-demand energy forecasts are critical for competitive market participants, such as in the Electric Reliability Council of Texas (ERCOT) and similar markets, for several key reasons. For example, ...

Rapid Intensification (RI) of tropical cyclones (TCs), defined as an intensity increase of at least 13 m/s within 24 hours, remains one of the most challenging phenomena to forecast because of its ...

As a hotelier, you’ll know the frustration: you build a forecast you trust only to see actual results veer wildly off course. Rooms go unsold because demand was overestimated or staff are stretched ...

What are the benefits of applying an AI model to demand forecasting if moderate accuracy is achieved?This discussion focuses ...