Webinar on Demand “Deep Learning approaches for weather-dependent businesses”
Home/Webinars/Webinar on Demand “Deep Learning approaches for weather-dependent businesses”
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?
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
Initial broadcast date: December 17th, 2020
Lionel Cordesses Director – Intelligent Systems & Communications at IRT Saint Exupéry
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”?
( Please fill in the following form and you will receive the webinar link by email. )