Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
Abstract: This paper presents a novel approach to practical nonlinear model predictive control (PNMPC) using Kolmogorov–Arnold networks (KANs) as prediction models. KANs are based on the ...
Abstract: The increasing integration of parallel grid-forming (GFM) inverters within islanded AC microgrids introduces significant challenges in maintaining robust voltage regulation and accurate ...