4 papers · 1 filter
Machine Learning for Exact Time Series Aggregation in Generation Expansion Planning with Energy Storage
Jakub Rybka, Luca Santosuosso, Thomas Klatzer +1
This paper investigates a generation expansion planning (GEP) problem encompassing renewable, thermal, and storage technologies while simultaneously optimizing market participation…
Mapping Austria's Natural Gas and Hydrogen Infrastructure Plans
Marco Quantschnig, Yannick Werner, Thomas Klatzer +1
This paper presents a comprehensive, spatially disaggregated dataset of Austria's natural gas and hydrogen infrastructure towards 2040. The dataset covers the complete gas transmis…
Connecting Representative Periods in Energy System Optimization Models using Markov Transition Matrices
Felix C. A. Auer, Robert Gaugl, Thomas Klatzer +2
Time series aggregation reduces the computational complexity of large-scale energy system optimization models, but maintaining chronological continuity between the resulting repres…
Towards Exact Temporal Aggregation of Time-Coupled Energy Storage Models via Active Constraint Set Identification and Machine Learning
Thomas Klatzer, David Cardona-Vasquez, Luca Santosuosso +1
Time series aggregation (TSA) aims to construct temporally aggregated optimization models that accurately represent the output space of their full-scale counterparts while using a…