Learning Dispatch Parameters of Thermal Power Plants from Observations. - Mario Beykirch; Tim Janke; Florian Steinke (ISGT Europe, 2018)

Probabilistic Forecast Combination for Anomaly Detection in Building Heat Load Time Series. - Mario Beykirch; Tim Janke; Imed Tayeche; Florian Steinke (ISGT-Europe, 2021)

Implicit Generative Copulas. - Tim Janke; Mohamed Ghanmi; Florian Steinke (NeurIPS, 2021)

Bidding and Scheduling in Energy Markets: Which Probabilistic Forecast Do We Need? - Mario Beykirch; Tim Janke; Florian Steinke (CoRR, 2022)

Generative machine learning methods for multivariate ensemble post-processing. - Jieyu Chen; Tim Janke; Florian Steinke; Sebastian Lerch (CoRR, 2022)

Deep Learning-enabled MCMC for Probabilistic State Estimation in District Heating Grids. - Andreas Bott; Tim Janke; Florian Steinke (CoRR, 2023)

Evaluation Concept for Order Release Based on Simulation and Reinforcement Learning Against Changes to the Production Configuration. - Tim Janke; Michael Riesener; Seth Schmitz; Judith Fulterer; Hendrik Eisbein (ANNSIM, 2024)