Designing optimal power flow (OPF) models for ac–dc distribution networks poses significant challenges due to their highly nonlinear nature. However, convex relaxations can overcome the complexities.

To enhance the GP model, an in-depth analysis of the properties of its kernel and likelihood function is provided. To cope with the hyperparameter optimisation of the GP, a modified Newton method for ...

This MATLAB implementation trains a Physics-Informed Neural Network (PINN) to solve the Navier-Stokes equations for incompressible fluid flow. The model is validated against the well-known Lid-Driven ...