no code implementations • 21 Nov 2023 • Siyi Li, Arnaud Robert, A. Aldo Faisal, Matthew D. Piggott
This work proposes a novel data-driven model capable of providing accurate predictions for the power generation of all wind turbines in wind farms of arbitrary layout, yaw angle configurations and wind conditions.
1 code implementation • 8 May 2023 • Felipe Tobar, Arnaud Robert, Jorge F. Silva
Let us consider the deconvolution problem, that is, to recover a latent source $x(\cdot)$ from the observations $\mathbf{y} = [y_1,\ldots, y_N]$ of a convolution process $y = x\star h + \eta$, where $\eta$ is an additive noise, the observations in $\mathbf{y}$ might have missing parts with respect to $y$, and the filter $h$ could be unknown.
1 code implementation • 11 Dec 2019 • Elsa Cazelles, Arnaud Robert, Felipe Tobar
The WF distance operates by calculating the Wasserstein distance between the (normalised) power spectral densities (NPSD) of time series.