Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
Articles | Volume 25, issue 11
Articles | Volume 25, issue 11
Hydrol. Earth Syst. Sci., 25, 5951–5979, 2021
https://doi.org/10.5194/hess-25-5951-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Hydrol. Earth Syst. Sci., 25, 5951–5979, 2021
https://doi.org/10.5194/hess-25-5951-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 25, issue 11
Research article
18 Nov 2021
Research article | 18 Nov 2021

AI-based techniques for multi-step streamflow forecasts: application for multi-objective reservoir operation optimization and performance assessment

Yuxue Guo et al.

Viewed

Total article views: 1,876 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,365 488 23 1,876 17 16
  • HTML: 1,365
  • PDF: 488
  • XML: 23
  • Total: 1,876
  • BibTeX: 17
  • EndNote: 16
Views and downloads (calculated since 16 Dec 2020)
Cumulative views and downloads (calculated since 16 Dec 2020)

Viewed (geographical distribution)

Total article views: 1,876 (including HTML, PDF, and XML) Thereof 1,724 with geography defined and 152 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 02 Feb 2023
Download
Short summary
We developed an AI-based management methodology to assess forecast quality and forecast-informed reservoir operation performance together due to uncertain inflow forecasts. Results showed that higher forecast performance could lead to improved reservoir operation, while uncertain forecasts were more valuable than deterministic forecasts. Moreover, the relationship between the forecast horizon and reservoir operation was complex and depended on operating configurations and performance measures.
Read more