ENGIE and Google Cloud collaborate on AI and data management for wind energy





ENGIE and Google Cloud have signed a new partnership for the development of an energy solution based on artificial intelligence to optimize the value of ENGIE’s wind portfolio in the electricity markets in the short term. ENGIE and Google Cloud’s AI Services and Industry Solutions (AIIS) will partner to combine both electricity markets expertise and AI to develop the solution. This project will facilitate transactions for wind asset developers and create benefits for wind power producers.

The main objective of the AI ​​pilot project is to predict how much wind energy should be sold in which electricity market and at what price. This is a challenge due to the complexity of short-term electricity markets and the unpredictable nature of wind generation. In order to solve this problem, large amounts of data from various sources must be collected, stored and analyzed. The AI ​​solution leverages a high-performance, scalable data system and advanced machine learning algorithms to extract value from data that supports subsequent decisions.

“At Google Cloud, we believe that more accurate wind power generation data and predictions will be valuable to power grids, creating benefits for consumers and making wind more competitive with fossil fuels,” says Larry. Cochrane, director of global energy solutions at Google Cloud. . “We are delighted to work with ENGIE on this project, which can accelerate Europe’s clean energy transition, while laying the foundation for wind farms around the world to benefit from improved forecasts via artificial intelligence.”

“ENGIE’s ‘Global Energy Management & Sales’ business unit has developed its systems over the past decade to address the challenges of managing renewable assets,” explains Alexandre Cosquer, member of the executive committee of ENGIE. commercial entity of ENGIE Global Energy Management & Sales. . “With dual expertise in risk and data management already, we were looking to scale up the development of renewable energy and partner with one of the top experts not only in data management but also in Machine Learning technology.”

Image: Sam Cumming on Unsplash








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