Deep learning-based flow disaggregation for hydropower plant management

High temporal resolution data is a vital resource for hydropower plant management. Currently, only daily resolution data are available for most of Norwegian hydropower plant, however, to achieve more accurate management, sub-daily resolution data are often required. To deal with the wide absence of sub-daily data, time series disaggregation is a potential tool. In this study, we proposed a time series disaggregation model based on deep learning, the model is tested using flow data from a Norwegian flow station, to disaggregate the daily flow into hourly flow. Preliminary results show some promising aspects for the proposed model.