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Using feature engineering and machine learning in FAO reference evapotranspiration estimation Cover

Using feature engineering and machine learning in FAO reference evapotranspiration estimation

Journal of Hydrology and Hydromechanics
Volume 71 (2023): Issue 4 (December 2023)
By: Barbora Považanová,  Milan Čistý and  Zbyněk Bajtek  
Open Access
|Nov 2023

Authors

Barbora Považanová

Faculty of Civil Engineering, Slovak University of Technology in Bratislava, Bratislava, Slovakia

Milan Čistý

milan.cisty@stuba.sk

Faculty of Civil Engineering, Slovak University of Technology in Bratislava, Bratislava, Slovakia

Zbyněk Bajtek

Institute of Hydrology, Slovak Academy of Sciences, Bratislava, Slovak Republic
DOI: https://doi.org/10.2478/johh-2023-0032 | Journal eISSN: 1338-4333 | Journal ISSN: 0042-790X
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Language: English
Page range: 425 - 438
Submitted on: Jul 1, 2023
Accepted on: Oct 4, 2023
Published on: Nov 14, 2023
Published by: Slovak Academy of Sciences, Institute of Hydrology; Institute of Hydrodynamics, Czech Academy of Sciences, Prague
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Reference evapotranspiration,
Input data reduction,
Machine learning,
Feature engineering.
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2023 Barbora Považanová, Milan Čistý, Zbyněk Bajtek, published by Slovak Academy of Sciences, Institute of Hydrology; Institute of Hydrodynamics, Czech Academy of Sciences, Prague
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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