time-series-6
energy management
3260 papers • 126 benchmarks • 313 datasets
energy management is to schedule energy units inside the systems, enabling an reliable, safe and cost-effective operation
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A deep generative model for probabilistic energy forecasting in power systems: normalizing flows
Jonathan Dumas, Antoine Wehenkel, Damien Lanaspeze, Bertrand Cornélusse, Antonio Sutera•Wed Jun 16 2021
This paper proposes to present to the power systems forecasting practitioners a recent deep learning technique, the normalizing flows, to produce accurate scenario-based probabilistic forecasts that are crucial to face the new challenges in power systems applications.
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