1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2024
Efficient Training of Learning-Based Thermal Power Flow for 4th Generation District Heating Grids
Andreas Bott, Mario Beykirch, Florian Steinke
Thermal power flow (TPF) is an important task for various control purposes in 4 Th generation district heating grids with multiple decentral heat sources and meshed grid structures…
eess.SY2022★ 1 cited
Bidding and Scheduling in Energy Markets: Which Probabilistic Forecast Do We Need?
Mario Beykirch, Tim Janke, Florian Steinke
Probabilistic forecasting in combination with stochastic programming is a key tool for handling the growing uncertainties in future energy systems. Derived from a general stochasti…
stat.AP2021
Probabilistic Forecast Combination for Anomaly Detection in Building Heat Load Time Series
Mario Beykirch, Tim Janke, Imed Tayeche +1
We consider the problem of automated anomaly detection for building level heat load time series. An anomaly detection model must be applicable to a diverse group of buildings and p…