wrapper.py is the main file used for experiments. Here you chose the models you want to experiment with and their hyperparameters.
power.py wraps pandapower in two classes and provides several helper functions. load_case loads cases from the pandapower.networks module. adjacency_from_net creates an adjacency matrix based off of the imported network object. NetworkManager provides a set of functions to manipulate a pandapower network structure. Pandapower uses pandas to store information about the electrical network in tables, this class allows you to easily manipulate those as numpy matrices. Finally, LoadGenerator is a utility for generating synthetic load profiles based on real data or sampled from a uniform distribution.