On Wednesday, May 29, Thomas Stolp from HKV gave an online technical session about Bed level forecast in the Waal with spatio-temporal networks.
Retrospect
In this technical session, Thomas explored the application of spatio-temporal Machine Learning models for short term forecasting of bed levels in the Waal river. Such forecast can be used as monitoring of shallow areas that may require dredging. Thomas discussed the challenges they encountered when applying such models for this use case.
Content
- introduction
- technical explanation of the model
- challenges that were faced
- data pre-processing that was improved
- discussion (not recorded)
