MS4.1 - AI test cases are designed and algorithms for corresponding applications identified
Description
The objective of WorkPackage 4 is to develop data-driven solutions for generating reanalysis and forecast with better quality, resolution and low computational cost, which can be efficient tools for building up a digital twin of ocean applications. This includes (i) AI for improved local forecast for working window design; (ii) AI for downscaling; (iii) AI for data-simulation fusion; (iv) AI for assessing the impact of OWFs on sea ice. The main goal of WP4 is to test and improve relevant AI-models so that optimal schemes can be identified for different applications. To reach this goal, the first step is to design AI test cases and algorithms for the identified applications. The AI test cases were designed for generating local forecasts, historical and climate products to meet requirements from the offshore wind industry.
Files
DTO4OWE_M4.1.pdf
Files
(521.1 kB)
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Additional details
Funding
- Research Council of Finland
- Digital Twin of the Ocean for Offshore Wind Energy (DTO4OWE) 372992