11 citations · 20 across the 9 of their papers we have counts for
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cs.LG2021
Concepts for Automated Machine Learning in Smart Grid Applications
Stefan Meisenbacher, Janik Pinter, Tim Martin +2
Undoubtedly, the increase of available data and competitive machine learning algorithms has boosted the popularity of data-driven modeling in energy systems. Applications are forec…
eess.SY2021★ 5 cited
Data-driven system analysis of nonlinear systems using polynomial approximation
Tim Martin, Frank Allgöwer
In the context of data-driven control of nonlinear systems, many approaches lack of rigorous guarantees, call for nonconvex optimization, or require knowledge of a function basis c…
eess.SY2021★ 1 cited
Data-driven inference on optimal input-output properties of polynomial systems with focus on nonlinearity measures
Tim Martin, Frank Allgöwer
In the context of dynamical systems, nonlinearity measures quantify the strength of nonlinearity by means of the distance of their input-output behaviour to a set of linear input-o…