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- Titel:
Graph Neural Network Surrogates for Energy System Modeling
- Dokumenttyp:
- Konferenzbeitrag
- Autor(en):
- Pjetri, Gerild; Mohapatra, Anurag; Baecker, Beneharo Reveron; Hock, Maximilian; Hamacher, Thomas
- Stichworte:
- Training; Optimization models; Training data; Europe; Systems modeling; Transformers; Graph neural networks; Smart grids; Planning; Load flow; Machine Learning; Graph Neural Network; Energy System Modeling; Active Distribution Grids; Physics-Informed Training
- Kongress- / Buchtitel:
- 2025 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe)
- Jahr:
- 2025
- Seiten:
- 1-5
- Volltext / DOI:
- doi:10.1109/isgteurope64741.2025.11305443
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