Articles | Volume 23, issue 6
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


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to revisions (further review by editor and referees) (26 Jan 2019) by Micha Werner
AR by Richard Arsenault on behalf of the Authors (27 Jan 2019)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (02 Feb 2019) by Micha Werner
RR by Anonymous Referee #3 (11 Jun 2019)
ED: Publish as is (11 Jun 2019) by Micha Werner
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.