Statistical, Physical Information and Modularity

In this research area, we focus on how we can explicitly include statistical information such as seasonality, trends or concept drifts and physical information, such as explicitly known differential equations or the structure of a solar thermal system, into neural networks. Giving the networks (CNNs, LSTMs etc.) explicit statistical or physical information can help them to focus on the hidden patterns in the data, which might otherwise be missed.