@article{Sessa_2021,
title={Analyzing the Applicability of Random Forest-Based Models for the Forecast of Run-of-River Hydropower Generation},
volume={3},
ISSN={2571-8797},
url={http://dx.doi.org/10.3390/cleantechnol3040050},
DOI={10.3390/cleantechnol3040050},
number={4},
journal={Clean Technologies},
publisher={MDPI AG},
author={Sessa,
Valentina and Assoumou,
Edi and Bossy,
Mireille and Simões,
Sofia G.},
year={2021},
month=dec,
pages={858–880} }