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](https://reuniwatt.com/en/wp-content/uploads/sites/3/2020/12/lionel-e1607605420129.jpg)
Chairman
Lionel Cordesses
Director – Intelligent Systems & Communications at IRT Saint Exupéry
![pierre](https://reuniwatt.com/en/wp-content/uploads/sites/3/2020/12/pierre-300x290.jpg)
Speaker
Pierre Aillaud
R&D Engineer at Reuniwatt
![johan](https://reuniwatt.com/en/wp-content/uploads/sites/3/2020/12/johan-e1607603833921.jpg)
Speaker
Johan Mathé
Co-founder & CEO at Atmo