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

• URL: http://arxiv.org/abs/2308.11631v2
• Date: Fri, 22 Sep 2023 06:57:24 GMT
• Title: Deep learning-based flow disaggregation for short-term hydropower plant operations
• Authors: Duo Zhang
• Abstract summary: High temporal resolution data plays a vital role in effective short-term hydropower plant operations. 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.
• Score: 2.4874453414078896
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: 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.

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