Abstract: Most existing graph neural networks (GNNs) are proposed without considering the selection bias in data, i.e., the inconsistent distribution between the training set with the test set. In ...

Abstract: Through extensive interaction between residential users and energy systems, deeper insight into the residential user profiles (e.g. number of residents, have children or not) become an ...