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

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Latest update: 02 Jul 2024
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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.