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Found 7 papers, 2 papers with code
Quantifying seasonal hydrogen storage demands under cost and market uptake uncertainties in energy system transformation pathways
Climate neutrality paradigms put electricity systems at the core of a clean energy supply.
Robust N-1 secure HV Grid Flexibility Estimation for TSO-DSO coordinated Congestion Management with Deep Reinforcement Learning
Nowadays, the PQ flexibility from the distributed energy resources (DERs) in the high voltage (HV) grids plays a more critical and significant role in grid congestion management in TSO grids.
Towards Organic Distribution Systems -- The Vision of Self-Configuring, Self-Organising, Self-Healing, and Self-Optimising Power Distribution Management
On the grid level, distribution management systems (DMS) try to keep the power system in the normal operational state.
Evaluating Machine Learning Models for the Fast Identification of Contingency Cases
Fast approximations of power flow results are beneficial in power system planning and live operation.
Arrows for Parallel Computation
To show that PArrows have similar expressive power as existing parallel languages, we implement several algorithmic skeletons and four benchmarks.
Programming Languages
Heuristic Optimization for Automated Distribution System Planning in Network Integration Studies
This allows the estimation of the expected cost in massive probabilistic simulations of large numbers of real networks and constitutes a core component of a framework for large-scale network integration studies.
pandapower - an Open Source Python Tool for Convenient Modeling, Analysis and Optimization of Electric Power Systems
pandapower is a Python based, BSD-licensed power system analysis tool aimed at automation of static and quasi-static analysis and optimization of balanced power systems.
Computational Engineering, Finance, and Science
