energy system planning 1feasibility screening 1gas networks 1graph neural networks 1physics-informed learning 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.CE2026
Accelerating gas-network feasibility screening with a physics-informed graph neural network surrogate
Dongrui Jiang, Jochen Garcke, Okan Akca +4
The paper presents a physics‑informed graph neural network that quickly predicts steady‑state pressures and flows in large gas networks while enforcing mass‑balance, enabling rapid…
math.OC2026
From carbon management strategies to implementation: Modeling and physical simulation of CO2 pipeline infrastructure -- a case study for Germany
Mehrnaz Anvari, Marius Neuwirth, Okan Akca +4
Carbon capture and storage or utilization (CCUS) will play an important role to achieve climate neutrality in many economies. Pipelines are widely regarded as the most efficient me…
econ.GN2026
Adaptive Robust Optimization for European Electricity System Planning Considering Regional Dunkelflaute Events
Maximilian Bernecker, Smaranda Sgarciu, Xiaoming Kan +3
The expansion of wind and solar power is driving the European energy system transformation, thereby also driving our reliance on this weather-dependent resources. Integrating renew…