Speaker
Dr
VANESSA A. GODOY
(Universitat Politecnica de Valencia)
Description
A reformulation of the ensemble Kalman filter is presented in which the updating step is changing from a linear combination of discrepancies between observed and predicted state variables onto a random forest regressor. The method is demonstrated in a synthetic aquifer and the advantage of the new formulation is discussed.
Research financed by grant PID2019-109131RB-I00 funded by MCIN/AEI/10.13039/501100011033 and the InTheMED project, which is part of the PRIMA Programme supported by the European Union’s Horizon 2020 Research and Innovation Programme under Grant Agreement No 1923.
| Participation | In person |
|---|---|
| Country | Spain |
| MDPI Energies Student Poster Award | No, do not submit my presenation for the student posters award. |
| Time Block Preference | Time Block A (09:00-12:00 CET) |
| Acceptance of the Terms & Conditions | Click here to agree |
Primary authors
Prof.
J. Jaime Gómez-Hernández
(Universitat Politècnica de València)
Dr
VANESSA A. GODOY
(Universitat Politecnica de Valencia)
Gian Napa
(Research)
