[Webinar] Deep-learning approaches for weather-dependent businesses

Our last webinar of 2020 will look into deep learning approaches for weather dependent businesses.

After this webinar you’ll have an understanding of:

  • Why deep learning can enhance weather forecasts for solar energy in comparison to the use of physical models and image processing technology

  • How deep learning works

  • A use case from PV production forecasting

  • Why weather-dependent businesses should consider machine-learning technology for weather forecasts

  • Biased data and the importance of a good data set

  • The wide range of applications of weather decision-making engines

About the speakers

Reuniwatt’s Data Scientist Pierre Aillaud will talk about deep neural networks and probabilistic approaches applied to solar forecasting. Co-speaker Johan Mathé, CEO of atmo.ai, will explain how deep learning can be used to understand the impact of weather data across major businesses. Our moderator, Lionel Cordesses, will use his experience in Artificial Intelligence to host this exciting event.

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Lionel Cordesses

Moderator
Director – Intelligent Systems & Communications @IRT Saint Exupéry

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Pierre Aillaud

Speaker
R&D Engineer @Reuniwatt

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Johan Mathé

Speaker
Co-founder & CEO @Atmo

Watch our webinar on demand:

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About Reuniwatt (www.reuniwatt.com)

Reuniwatt is a major player of the solar radiation and cloud cover assessment and forecasting. Based on solid Research and Development works, the company offers reliable products and services intended for professionals of various fields, making the best out of two key facets of the meteorology: atmospheric physics and data sciences. A particular focus has been placed on solar energy forecasting, while developing cutting edge solutions to improve the short-term prediction of the solar resource.

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About Atmo (atmo.ai)

Atmospherics, also known as Atmo, aims to answer pressing questions of how businesses should respond to, and take advantage of, patterns in the weather. Atmo uses custom-built AI to analyze an enterprise’s historical data, compare it to a petascale database of the world’s weather, and generate precise insights for how to lower costs and boost profits, given the forecast. Atmo aims to democratize access to advanced weather insights for all organizations.