14 – 18 november 2022 (Le Bourget du Lac / Le Grand Bornand)
For master and PhD students, post-docs, researchers, engineers and practitioners.
Plenary sessions, workshops, visit of experimental facilities at INES.
The DATASUN scientific school addresses data sciences and their applications to solar energy. It will be about data, its use, analysis and handing for solar energy related studies. The aim is to cover a wide range of scales: spatial scales, from the territory to the system, but also temporal scales, from yearly prediction (including climate changes forecasting) to short term predictions. Particular focus on the methods used to deal with data : clustering, bayesian approaches, machine learning, data mining, neural networks, statistical learning, principal component analysis, uncertainty analysis etc.
More information and registration
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