Webinar Series Part 22:<\/h2>\n
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When AI meets the sky: All sky imagers \u2013 from basic research to energy applications<\/b><\/h2>\n
This webinar showcases innovative cloud observation and classification methods and their applications in renewable energy forecasting. Mehdi Ben Slama from Reuniwatt presents advances in cloud type classification using all-sky imagers, including novel approaches to estimate multi-layer cloud amounts from single images. Emanuele Giovanni Carlo Ogliari from Politecnico di Milano discusses machine learning methods for short-term solar radiation nowcasting based on sequences of infrared all-sky images, highlighting improvements over traditional persistence models. Prof. Stephanie Fiedler leads the event, emphasizing how these advanced techniques enhance solar radiation forecasts critical for electric grid stability and management. The webinar offers insights into cutting-edge atmospheric science developments and their practical implications, with a final discussion on cloud observation, modeling, and solar radiation prediction.<\/p>\n
Topics discussed<\/h4>\n\n\n\n- Innovative methods for cloud observation and classification<\/strong> using all-sky imagers, including techniques for estimating multi-layer cloud amounts from a single image<\/li>\n<\/ul>\n<\/div>\n
\n- Machine learning-based approaches for nowcasting<\/strong> global horizontal irradiance<\/strong> 5-15 minutes ahead<\/li>\n<\/ul>\n<\/div>\n
\n- How advanced cloud observation and prediction techniques contribute to more accurate solar radiation forecasts<\/strong>, crucial for managing electric grids and renewable energy systems<\/li>\n<\/ul>\n
Language: English<\/h4>\nInitial broadcast date: April 10th, 2025<\/h4>\n<\/div><\/div><\/div><\/div><\/div>![\"-\"](\"https:\/\/reuniwatt.com\/en\/wp-content\/uploads\/sites\/3\/2025\/03\/StefanieFiedlersq.jpg\" "\\"StefanieFiedlersq\\"")
<\/span><\/div>Prof. Stephanie Fiedler<\/span><\/p>\nModerator
\nProfessor, Directorate Institute of Environmental Physics <\/span>@Universit\u00e4t Heidelberg<\/span><\/p>\n\u00a0<\/span><\/p>\n<\/div><\/div><\/div>![\"-\"](\"https:\/\/reuniwatt.com\/en\/wp-content\/uploads\/sites\/3\/2025\/03\/EmanueleOgliarisq.jpg\" "\\"EmanueleOgliarisq\\"")
<\/span><\/div>Emanuele Ogliari, PhD<\/span><\/p>\nSpeaker
\nAssociate Professor, Department of Energy <\/span>@Politecnico di Milano<\/span><\/p>\n\u00a0<\/span><\/p>\n<\/div><\/div><\/div>![\"-\"](\"https:\/\/reuniwatt.com\/en\/wp-content\/uploads\/sites\/3\/2025\/03\/MehdiBenSlama_sq.jpg\" "\\"MehdiBenSlama_sq\\"")
<\/span><\/div>Mehdi Ben Slama\u00a0<\/span><\/span><\/p>\nSpeaker
\nEngineer \u2013 R&D Computer Vision @Reuniwatt<\/span><\/p>\n<\/div><\/div><\/div><\/div><\/div>Would you like to access our webinar on demand “Contrails in the climate system \u2013 enhancing NWP through cloud observation and AI<\/span><\/b>“?<\/h2>\n
- \n
- Innovative methods for cloud observation and classification<\/strong> using all-sky imagers, including techniques for estimating multi-layer cloud amounts from a single image<\/li>\n<\/ul>\n<\/div>\n
- \n
- Machine learning-based approaches for nowcasting<\/strong> global horizontal irradiance<\/strong> 5-15 minutes ahead<\/li>\n<\/ul>\n<\/div>\n
- \n
- How advanced cloud observation and prediction techniques contribute to more accurate solar radiation forecasts<\/strong>, crucial for managing electric grids and renewable energy systems<\/li>\n<\/ul>\n
Language: English<\/h4>\n
Initial broadcast date: April 10th, 2025<\/h4>\n<\/div>
<\/div><\/div><\/div><\/div><\/span><\/div>Prof. Stephanie Fiedler<\/span><\/p>\n
Moderator
\nProfessor, Directorate Institute of Environmental Physics <\/span>@Universit\u00e4t Heidelberg<\/span><\/p>\n\u00a0<\/span><\/p>\n<\/div><\/div><\/div>
<\/span><\/div>Emanuele Ogliari, PhD<\/span><\/p>\n
Speaker
\nAssociate Professor, Department of Energy <\/span>@Politecnico di Milano<\/span><\/p>\n\u00a0<\/span><\/p>\n<\/div><\/div><\/div>
<\/span><\/div>Mehdi Ben Slama\u00a0<\/span><\/span><\/p>\n
Speaker
\nEngineer \u2013 R&D Computer Vision @Reuniwatt<\/span><\/p>\n<\/div><\/div><\/div><\/div><\/div>Would you like to access our webinar on demand “Contrails in the climate system \u2013 enhancing NWP through cloud observation and AI<\/span><\/b>“?<\/h2>\n
- How advanced cloud observation and prediction techniques contribute to more accurate solar radiation forecasts<\/strong>, crucial for managing electric grids and renewable energy systems<\/li>\n<\/ul>\n
- Machine learning-based approaches for nowcasting<\/strong> global horizontal irradiance<\/strong> 5-15 minutes ahead<\/li>\n<\/ul>\n<\/div>\n
![\"Reuniwatt](\"https:\/\/reuniwatt.com\/en\/wp-content\/uploads\/sites\/3\/2020\/06\/mock-001581.png\" "\\"\\"")
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