[Webinar] Deep-learning approaches for weather-dependent businesses<\/strong><\/h2>\n<\/div>Our last webinar of 2020 will look into deep learning approaches for weather dependent businesses.<\/p>\n<\/div>
After this webinar you’ll have an understanding of:<\/h3>\n<\/div><\/div><\/div><\/div><\/div>- <\/i><\/span>\n
Why deep learning can enhance weather forecasts for solar energy in comparison to the use of physical models and image processing technology<\/span><\/p>\n<\/div><\/li>- <\/i><\/span>\n
How deep learning works<\/span><\/p>\n<\/div><\/li>- <\/i><\/span>\n
A use case from PV production forecasting<\/span><\/p>\n<\/div><\/li>- <\/i><\/span>\n
Why weather-dependent businesses should consider machine-learning technology for weather forecasts<\/span><\/p>\n<\/div><\/li>- <\/i><\/span>\n
Biased data and the importance of a good data set<\/span><\/p>\n<\/div><\/li>- <\/i><\/span>\n
The wide range of applications of weather decision-making engines<\/span><\/p>\n<\/div><\/li><\/ul><\/div><\/div><\/div><\/div>About the speakers<\/h3>\n
Reuniwatt’s Data Scientist Pierre Aillaud will talk about deep neural networks and probabilistic approaches applied to solar forecasting. Co-speaker Johan Math\u00e9, 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.<\/p>\n<\/div><\/div><\/div>
![\"-\"](\"https:\/\/reuniwatt.com\/en\/wp-content\/uploads\/sites\/3\/2020\/12\/lionel-e1607603877380.jpg\" "\\"lionel\\"")
<\/span><\/div>Lionel Cordesses
\n<\/span><\/p>\nModerator
\nDirector – Intelligent Systems & Communications<\/span> @IRT Saint Exup\u00e9ry<\/span><\/p>\n<\/div><\/div><\/div>![\"-\"](\"https:\/\/reuniwatt.com\/en\/wp-content\/uploads\/sites\/3\/2020\/12\/pierre-e1607603695689.jpg\" "\\"pierre\\"")
<\/span><\/div>Pierre Aillaud<\/span><\/p>\nSpeaker
\nR&D Engineer @Reuniwatt<\/p>\n<\/div><\/div><\/div>
![\"-\"](\"https:\/\/reuniwatt.com\/en\/wp-content\/uploads\/sites\/3\/2020\/12\/johan-e1607603833921.jpg\" "\\"johan\\"")
<\/span><\/div>Johan Math\u00e9<\/span><\/p>\nSpeaker
\nCo-founder & CEO<\/span> @Atmo<\/span><\/p>\n<\/div><\/div><\/div>Watch our webinar on demand:<\/h2>\n<\/div>
Our last webinar of 2020 will look into deep learning approaches for weather dependent businesses.<\/p>\n<\/div>
After this webinar you’ll have an understanding of:<\/h3>\n<\/div><\/div><\/div><\/div><\/div>- <\/i><\/span>\n
Why deep learning can enhance weather forecasts for solar energy in comparison to the use of physical models and image processing technology<\/span><\/p>\n<\/div><\/li>- <\/i><\/span>\n
How deep learning works<\/span><\/p>\n<\/div><\/li>- <\/i><\/span>\n
A use case from PV production forecasting<\/span><\/p>\n<\/div><\/li>- <\/i><\/span>\n
Why weather-dependent businesses should consider machine-learning technology for weather forecasts<\/span><\/p>\n<\/div><\/li>- <\/i><\/span>\n
Biased data and the importance of a good data set<\/span><\/p>\n<\/div><\/li>- <\/i><\/span>\n
The wide range of applications of weather decision-making engines<\/span><\/p>\n<\/div><\/li><\/ul><\/div><\/div><\/div><\/div>About the speakers<\/h3>\n
Reuniwatt’s Data Scientist Pierre Aillaud will talk about deep neural networks and probabilistic approaches applied to solar forecasting. Co-speaker Johan Math\u00e9, 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.<\/p>\n<\/div><\/div><\/div>
<\/span><\/div>Lionel Cordesses
\n<\/span><\/p>\nModerator
\nDirector – Intelligent Systems & Communications<\/span> @IRT Saint Exup\u00e9ry<\/span><\/p>\n<\/div><\/div><\/div><\/span><\/div>Pierre Aillaud<\/span><\/p>\nSpeaker
\nR&D Engineer @Reuniwatt<\/p>\n<\/div><\/div><\/div>
<\/span><\/div>Johan Math\u00e9<\/span><\/p>\nSpeaker
\nCo-founder & CEO<\/span> @Atmo<\/span><\/p>\n<\/div><\/div><\/div>Watch our webinar on demand:<\/h2>\n<\/div>
- <\/i><\/span>\n
Why deep learning can enhance weather forecasts for solar energy in comparison to the use of physical models and image processing technology<\/span><\/p>\n<\/div><\/li>
- <\/i><\/span>
\nHow deep learning works<\/span><\/p>\n<\/div><\/li>
- <\/i><\/span>
\nA use case from PV production forecasting<\/span><\/p>\n<\/div><\/li>
- <\/i><\/span>
\nWhy weather-dependent businesses should consider machine-learning technology for weather forecasts<\/span><\/p>\n<\/div><\/li>
- <\/i><\/span>
\nBiased data and the importance of a good data set<\/span><\/p>\n<\/div><\/li>
- <\/i><\/span>
\nThe wide range of applications of weather decision-making engines<\/span><\/p>\n<\/div><\/li><\/ul><\/div><\/div>
<\/div><\/div>About the speakers<\/h3>\n
Reuniwatt’s Data Scientist Pierre Aillaud will talk about deep neural networks and probabilistic approaches applied to solar forecasting. Co-speaker Johan Math\u00e9, 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.<\/p>\n<\/div><\/div><\/div>
<\/span><\/div>Lionel Cordesses
\n<\/span><\/p>\nModerator
\nDirector – Intelligent Systems & Communications<\/span> @IRT Saint Exup\u00e9ry<\/span><\/p>\n<\/div><\/div><\/div><\/span><\/div>Pierre Aillaud<\/span><\/p>\n
Speaker
\nR&D Engineer @Reuniwatt<\/p>\n<\/div><\/div><\/div><\/span><\/div>Johan Math\u00e9<\/span><\/p>\n
Speaker
\nCo-founder & CEO<\/span> @Atmo<\/span><\/p>\n<\/div><\/div><\/div>Watch our webinar on demand:<\/h2>\n<\/div>
- <\/i><\/span>
![\"-\"](\"https:\/\/reuniwatt.com\/en\/wp-content\/uploads\/sites\/3\/2020\/06\/NL_img0-300x33.png\" "\\"NL_img0\\"")
<\/span><\/div><\/div><\/div>![\"-\"](\"https:\/\/reuniwatt.com\/en\/wp-content\/uploads\/sites\/3\/2020\/12\/atmo-long-300x59.png\" "\\"atmo-long\\"")
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