PowerSINDy identifies nonlinear time-dependent dynamics in real power grid frequency data using sparse regression, with LASSO achieving the lowest stable RMSE of 0.0101 on Continental Europe data.
We included explicit time-dependency and selected suitable candidate functions, in particular higher-order polynomial and Fourier terms
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PowerSINDy: Identifying Nonlinear Time-Dependent Dynamics in Power Grid Frequency
PowerSINDy identifies nonlinear time-dependent dynamics in real power grid frequency data using sparse regression, with LASSO achieving the lowest stable RMSE of 0.0101 on Continental Europe data.