Google launches WeatherNext 3 for wind and solar forecasting in energy markets

Google launches WeatherNext 3 for wind and solar forecasting in energy markets

N
News Editor
2026-09-08 09:10:31
Google DeepMind and Google Research on Sept. 3 introduced WeatherNext 3, an AI weather forecasting model built to serve energy-market use cases. The model provides hourly updates and predicts wind speed at 100 meters above ground, cloud cover, and surface solar irradiance. Google said the tool is designed to help grid operators and renewable energy developers estimate wind and solar power output so supply can be matched more closely with electricity demand. The forecasting data from WeatherNext 3 has already been integrated into Google Search, the Gemini app, Google Maps, and the Google Maps Platform Weather API. Enterprise users can access the data through BigQuery and Earth Engine, or download it in bulk from Google Cloud Storage without deploying the model themselves. Google’s move comes as the energy sector faces rising demand for accurate short-term weather forecasting, driven by a higher share of renewable energy in power systems and growing electricity consumption from data centers. The launch places Google into the energy weather services market alongside companies including Vaisala, Solcast, and IBM.

Google DeepMind and Google Research released WeatherNext 3 on Sept. 3, adding an AI weather forecasting model aimed at energy-market applications. The model predicts wind speed at 100 meters above ground, cloud cover, and surface solar irradiance, with updates every hour.

Built for grid operators and renewable developers

Google said WeatherNext 3 is intended to help grid operators and renewable energy developers forecast wind and solar power generation so electricity supply can be aligned with demand.

Data already available across Google products and cloud tools

Forecast data from WeatherNext 3 has already been used in Google Search, the Gemini app, Google Maps, and the Google Maps Platform Weather API. Enterprise customers can query the data through BigQuery and Earth Engine, or download datasets in bulk from Google Cloud Storage without having to deploy the model on their own.

Google enters the energy weather services market

Demand for accurate short-term weather forecasts has been rising in the energy industry as renewable generation takes a larger share of the power mix and electricity use from data centers increases. With this release, Google is entering the energy weather services market, where companies such as Vaisala, Solcast, and IBM are already active.

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