Webinar Series – Part 6:

Deep Learning approaches for weather-dependent businesses

Deep learning techniques can enhance and improve weather forecasting and help weather-dependent businesses to encounter the effects of weather proactively.
But how does it work and how can it help solve today’s business challenges?

Topics discussed

  • Deep neural networks and probabilistic approaches applied to solar forecasting
  • The use of deep learning techniques to assess the impact of weather across major businesses

After the 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

Language: English

Initial broadcast date: December 17th, 2020

Lionel Cordesses
Director – Intelligent Systems & Communications at IRT Saint Exupéry

Pierre Aillaud
R&D Engineer at Reuniwatt

Johan Mathé
Co-founder & CEO at Atmo

Would you like to access our webinar on demand “Deep Learning approaches for weather-dependent businesses”?

Reuniwatt hybrid solar

( Please fill in the following form and you will receive the webinar link by email. )

    First name

    Last name

    Company/Institution name




    When completing this form, you agree to receive communications from Reuniwatt with inspirational articles, news and information on relevant products. No spam. You can unsubscribe at any time.

    Please prove you are human by selecting the Cup.