GluonTS is a Python toolkit for probabilistic time series modeling, built around Apache MXNet (incubating). GluonTS provides utilities for loading and iterating over time series datasets, state of the ...

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Abstract: Post-training quantization (PTQ) is an effective solution for deploying deep neural networks on edge devices with limited resources. PTQ is especially attractive because it does not require ...

Abstract: Most existing studies on probabilistic analysis of small-signal stability (PASS) of power systems affected by wind power generations ignore the intrinsic phenomenon in wind farms (WFs), i.e.