(Alliance News) - Terna Spa announced Tuesday that Eoliann and Fast Computing are the two startups chosen to collaborate with the blue chip as part of the "Data Science for Resilience" challenge.

The challenge was launched in December last year to identify digital solutions for increasing the resilience of the national transmission grid, which consists of some 75,000 km of high- and extra-high-voltage power lines and more than 900 power stations throughout Italy.

"Data Science for Resilience" is the first call to be launched by the company led by Giuseppina Di Foggia on the open innovation platform "Terna Ideas" and saw the participation of as many as 71 startups. In particular, the applications focused on artificial intelligence-based solutions to further improve predictive maintenance and monitoring of electricity infrastructure, with the aim of making it even safer and more efficient in the face of increasingly extreme and frequent weather events.

"We are very pleased with the participation and enthusiasm with which the startups responded to this challenge, which was created to identify high-tech solutions that will make the high-voltage transmission infrastructure increasingly safe, sustainable and resilient. We are convinced that innovation is one of the main enablers of the energy transition, and doing innovation means interacting with startups to introduce new tools and technologies that are crucial for the evolution of the electricity sector," commented Massimiliano Garri, director of Innovation & Market Solutions at Terna.

In detail, Eoliann is a Turin-based climate tech startup, founded in 2022, that uses satellite data and machine learning algorithms to predict ?the probability, intensity and impact of extreme weather events. Their mission is to improve infrastructure resilience and climate risk management. The partnership between Eoliann and Terna will focus on using Eoliann's satellite imagery and models as a source of data to improve the calculation and assessment of hydraulic hazard-a solution useful to the company in planning new power lines, as well as managing existing ones, in areas potentially more exposed to extreme weather events.

Fast Computing, a Trieste-based startup founded by SISSA's applied mathematics research group, specializes in statistical models and computational technologies for real-time data analysis. The startup will develop for Terna a model, based on company data, of predictive maintenance of machinery located at the company's power stations in order to estimate the probability of any anomalies and anticipate the need for maintenance operations.

Terna's stock closed down 0.4 percent at EUR7.30 per share.

By Giuseppe Fabio Ciccomascolo, Alliance News senior reporter

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