Can you describe your project in a few words?

ARIA (enhAnced shoRt-term wInd forecAsts) is an AI-based tool for providing improved short-term wind forecasts to the wind energy sector, enabling better predictability of wind power availability and generation. ARIA is developed by Amigo srl (as project coordinator and technology service provider) and ANEV (the Italian Association for Wind Energy, EPES stakeholder and Pilot infrastructure provider/Data Owner entity).

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Who will help implement the AI solution?

The ARIA consortium comprises Amigo srl (as project coordinator and technology service provider) and ANEV (the Italian Association for Wind Energy, as EPES stakeholder and Pilot infrastructure provider/Data Owner entity). Amigo is the first Italian SME working on climate services. We leverage climate data to deliver personalized solutions for clients to assess, manage, and forecast climate-related risks in several sectors, such as energy, insurance, infrastructure, and agriculture. Amigo is a multidisciplinary team of professional figures from climate science to Big Data and Artificial Intelligence, from strategic design to business development. Business experts support physicists and computer scientists to develop services that address specific customer needs.

ANEV is the Italian Association for Wind Energy, comprising approximately 100 companies involved in the national wind energy sector. It represents various stakeholders in the wind energy value chain, such as electricity producers and operators, technology providers, engineering firms, environmental studies, electrical traders, and developers.

What is the AI solution the project plans to implement?

ARIA aims to overcome the limited accuracy of the meteorological models already in use in predicting wind speed and direction by enhancing their output data through AI. By leveraging a set of AI and ML-based approaches (e.g. time series forecasting, statistical downscaling) on the zonal and meridional components of wind, ARIA allows the forecasting of wind speed at locations of interest up to 24-72h in advance.