Researchers in China conceived a new PV forecasting approach that integrates causal convolution, recurrent structures, ...

Abstract: We propose a new dimension reduction method for matrix-valued data called Matrix Non-linear PCA (MNPCA), which is a non-linear generalization of (2D) ${}^{2}$ PCA. MNPCA is based on ...

At the same time, linear ... data over very long distances,” Alam explained. “The reach is much shorter than CPO. CPO would also offer you more power benefits down the road. Conversely, LPO would ...

A heterogeneous linear data model (LDM) is presented to accommodate the nonlinear nonaffine structure of the heterogeneous agent. It also builds an I/O dynamic relationship of the agents along the ...

The resulting algorithm is applied to an academic example, illustrating (i) the effectiveness of covariance localization, (ii) the ability of the method to deal with non-local/non-linear observation .