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cs.LG2020
Evaluating Machine Learning Models for the Fast Identification of Contingency Cases
Florian Schaefer, Jan-Hendrik Menke, Martin Braun
Fast approximations of power flow results are beneficial in power system planning and live operation. In planning, millions of power flow calculations are necessary if multiple yea…
eess.SY2020
Review of Steady-State Electric Power Distribution System Datasets
Steffen Meinecke, Leon Thurner, Martin Braun
Publicly available grid datasets with electric steady-state equivalent circuit models are crucial for the development and comparison of a variety of power system simulation tools a…
eess.SY2020
Comparison of Meta-Heuristics for the Planning of Meshed Power Systems
Florian Schäfer, Jan-Hendrik Menke, Martin Braun
The power system planning task is a combinatorial optimization problem. The objective function minimizes the economic costs subject to a set of technical and operational constraint…