Articles | Volume 56
https://doi.org/10.5194/adgeo-56-155-2022
https://doi.org/10.5194/adgeo-56-155-2022
14 Jan 2022
 | 14 Jan 2022

Day-ahead energy production in small hydropower plants: uncertainty-aware forecasts through effective coupling of knowledge and data

Korina-Konstantina Drakaki, Georgia-Konstantina Sakki, Ioannis Tsoukalas, Panagiotis Kossieris, and Andreas Efstratiadis

Viewed

Total article views: 1,517 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,284 198 35 1,517 27 27
  • HTML: 1,284
  • PDF: 198
  • XML: 35
  • Total: 1,517
  • BibTeX: 27
  • EndNote: 27
Views and downloads (calculated since 14 Jan 2022)
Cumulative views and downloads (calculated since 14 Jan 2022)

Viewed (geographical distribution)

Total article views: 1,495 (including HTML, PDF, and XML) Thereof 1,495 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 29 May 2024
Download
Short summary
Since the problem of energy forecasting in SHPPs without storage capacity is little explored, we apply simple schemes to investigate: (a) the essential model structure and information; (b) the advantages of first using a flow forecasting model, instead of a direct energy forecasting; (c) the importance of rainfall data, as a proxy of the catchment state; (d) the training procedure and performance measure; and (e) the representation of predictive uncertainty and its practical interpretation.