Project corresponding research

Publication NameWeblinkRelease Date
Computationally efficient topology design of district heating networks by price-collecting Steiner treeshttps://doi.org/10.1016/j.energy.2025.1372232025-10-01
Improved Machine Learning Hybrid Approach For Advanced Solar PV Power Forecastinghttps://doi.org/10.1109/SusTech63138.2025.110256652025-06-12
Generation of low-voltage synthetic grid data for energy system modeling with the pylovo toolhttps://doi.org/10.1016/j.segan.2024.1016172025-03
Exploring the Potential of Freely Available Satellite Data for Energy Applicationshttps://zenodo.org/records/148436022025-02-10
Automatisierte Erfassung von Dokumenten zur Recherche von kommunalen WärmeplänenProceedings-Tape published in 2026 at Springer
Building a European-Level Energy Registry
A Simulation Framework for District Heating Network Design Capturing Prosumer Decision Making