# Deep learning-based flow disaggregation for short-term hydropower plant operations

arXiv: https://arxiv.org/abs/2308.11631 · HTML: https://mlsanity.com/paper/2308.11631/

## Key facts

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- First posted on arXiv 11 Aug 2023.

## Abstract (arXiv)

High temporal resolution data plays a vital role in effective short-term hydropower plant operations. In the majority of the Norwegian hydropower system, inflow data is predominantly collected at daily resolutions through measurement installations. However, for enhanced precision in managerial decision-making within hydropower plants, hydrological data with intraday resolutions, such as hourly data, are often indispensable. To address this gap, time series disaggregation utilizing deep learning emerges as a promising tool. In this study, we propose a deep learning-based time series disaggregation model to derive hourly inflow data from daily inflow data for short-term hydropower plant operations. Our preliminary results demonstrate the applicability of our method, with scope for further improvements.