Articles | Volume 23, issue 6
https://doi.org/10.5194/hess-23-2735-2019
https://doi.org/10.5194/hess-23-2735-2019
Research article
 | 
28 Jun 2019
Research article |  | 28 Jun 2019

Analysis of the effects of biases in ensemble streamflow prediction (ESP) forecasts on electricity production in hydropower reservoir management

Richard Arsenault and Pascal Côté

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Latest update: 14 Jun 2024
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Short summary
Hydrological forecasting allows hydropower system operators to make the most efficient use of the available water as possible. Accordingly, hydrologists have been aiming at improving the quality of these forecasts. This work looks at the impacts of improving systematic errors in a forecasting scheme on the hydropower generation using a few decision-aiding tools that are used operationally by hydropower utilities. We find that the impacts differ according to the hydropower system characteristics.