Research graph
References from Accelerating gas-network feasibility screening with a physics-informed graph neural network surrogate. Local targets link to admitted publications; unresolved targets remain external evidence.
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2025 · External reference
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2025 · External reference
Synergies of sector coupling and transmission reinforcement in a cost-optimised, highly renewable European energy system
10.1016/j.energy.2018.06.222 · 2018 · External reference
The sector coupling concept: A critical review
10.1002/wene.396 · 2021 · External reference
Enhancing energy transition through sector coupling: A review of technologies and models
10.3390/en16135226 · 2023 · External reference
Unresolved reference
2020 · External reference
Unresolved reference
2018 · External reference
Hydrogen blending in gas pipeline networks—A review
10.3390/en15103582 · 2022 · External reference
Load flow calculations of large transmission gas networks based on public data
2020 · External reference
Germany’s way from Russian natural gas to green hydrogen: Network data, procedures, and topologies for feasible transition paths to a green hydrogen transport infrastructure in Germany, GreenHyDE
10.1002/ente.202300976 · 2024 · External reference
Multi-linear probabilistic energy flow analysis of integrated electrical and natural-gas systems
10.1109/tpwrs.2016.2597162 · 2016 · External reference
Data-driven distributionally robust scheduling of community integrated energy systems with uncertain renewable generations considering integrated demand response
10.1016/j.apenergy.2023.120749 · 2023 · External reference
Stochastic optimal scheduling of electricity–hydrogen enriched compressed natural gas urban integrated energy system
10.1016/j.renene.2023.05.020 · 2023 · External reference
Integrated electrical and gas network flexibility assessment in low-carbon multi-energy systems
10.1109/tste.2015.2497329 · 2016 · External reference
Modeling and optimization of steady flow of natural gas and hydrogen mixtures in pipeline networks
10.1016/j.ijhydene.2023.12.054 · 2024 · External reference
Hydrogen blending in natural gas pipelines: A comprehensive review of material compatibility and safety considerations
10.1016/j.ijhydene.2024.10.384 · 2024 · External reference
Multi-period operation of integrated electricity and gas systems with hydrogen blending considering gas composition dynamics
2024 · External reference
Unresolved reference
1987 · External reference
Method of steady-state simulation of a gas network
10.1080/00207728808964126 · 1988 · External reference
Unresolved reference
2005 · External reference
A highly robust gas network simulation approach through an inherently solvable problem formulation for network states far from intended design points
10.1016/j.apm.2023.12.009 · 2024 · External reference
Design and operations of gas transmission networks
10.1287/opre.1110.1001 · 2012 · External reference
Hybrid approach by use of linear analogs for gas-network simulation with multiple components
10.2118/168225-pa · 2014 · External reference
Model order reduction for gas and energy networks
2021 · External reference
A review of automatic differentiation and its efficient implementation
2019 · External reference
Efficient and modular implicit differentiation
2022 · External reference
A critical review of modeling hydrogen production using water electrolyzer
10.1515/revce-2025-0049 · 2026 · External reference
Optimization problems in natural gas transportation systems: A state-of-the-art review
10.1016/j.apenergy.2015.03.017 · 2015 · External reference
Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
10.1016/j.jcp.2018.10.045 · 2019 · External reference
Physics-informed machine learning
10.1038/s42254-021-00314-5 · 2021 · External reference
Integrating scientific knowledge with machine learning for engineering and environmental systems
10.1145/3514228 · 2022 · External reference
Informed machine learning–A taxonomy and survey of integrating prior knowledge into learning systems
2023 · External reference
A comprehensive survey on graph neural networks
10.1109/tnnls.2020.2978386 · 2021 · External reference
Transferable surrogate models based on inductive biases of graph neural networks for water distribution systems
2022 · External reference
Embedding hard physical constraints in neural network coarse-graining of three-dimensional turbulence
10.1103/physrevfluids.8.014604 · 2023 · External reference
Physics-informed neural networks with hard constraints for inverse design
10.1137/21m1397908 · 2021 · External reference
Physics-constrained graph modeling for building thermal dynamics
10.1016/j.egyai.2024.100346 · 2024 · External reference
Unresolved reference
2004 · External reference
Neural message passing for quantum chemistry
2017 · External reference
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1997 · External reference
Spectral graph theory and its applications
2007 · External reference
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Unresolved reference
2004 · External reference
Theory-guided data science: A new paradigm for scientific discovery from data
10.1109/tkde.2017.2720168 · 2017 · External reference
Unresolved reference
2006 · External reference
GasLib—A library of gas network instances
10.3390/data2040040 · 2017 · External reference
MYNTS: Multi-physics NeTwork simulator
2016 · External reference
Unresolved reference
2016 · External reference
Unresolved reference
1993 · External reference
A new approach to Laplacian solvers and flow problems
2019 · External reference
10.5194/egusphere-egu22-7921
10.5194/egusphere-egu22-7921 · External reference
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