Deep Learning for solar power forecasting - An approach using AutoEncoder and LSTM Neural Networks. - Andre Gensler; Janosch Henze; Bernhard Sick; Nils Raabe (SMC, 2016)

Identifying Representative Load Time Series for Load Flow Calculations. - Janosch Henze; Tanja Kneiske; Martin Braun 002; Bernhard Sick (DARE@PKDD/ECML, 2017)

Sampling Strategies for Representative Time Series in Load Flow Calculations. - Janosch Henze; Stephan Kutzner; Bernhard Sick (DARE@PKDD/ECML, 2018)

Using grid supporting flexibility in electricity distribution networks. - Immanuel König; Erik Heilmann; Janosch Henze; Klaus David; Heike Wetzel; Bernhard Sick (GI-Jahrestagung, 2019)

Forecasting Power Grid States for Regional Energy Markets with Deep Neural Networks. - Yujiang He; Janosch Henze; Bernhard Sick (IJCNN, 2020)