Analyzing the Applicability of Random Forest-Based Models for the Forecast of Run-of-River Hydropower Generation

ABSTRACT: Analyzing the impact of climate variables into the operational planning processes is essential for the robust implementation of a sustainable power system. This paper deals with the modeling of the run-of-river hydropower production based on climate variables on the European scale. A bette...

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Bibliographic Details
Main Author: Sessa, Valentina (author)
Other Authors: Bossy, Mireille (author), Simoes, Sofia (author)
Format: article
Language:eng
Published: 2022
Subjects:
Energy modeling
Machine learning
Hydropower generation
Online Access:http://hdl.handle.net/10400.9/3722
Country:Portugal
Oai:oai:repositorio.lneg.pt:10400.9/3722

Internet

http://hdl.handle.net/10400.9/3722

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