Machine Learning Workflows for Digital Energy Systems

The course covers the following:

- statistical Learning (supervised/unsupervised),

- supervised regression,

- neural Networks,

- designing machine learning workflows

- physics-informed learning for energy applications

- learning with inductive bias in grids