Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Mathias Kluwe"'
Publikováno v:
ISGT Europe
In this paper we present a new approach for load forecasting in distribution grids with high renewable energy penetration. The method is based on multiple neural networks and the application focuses on predictive energy management systems which use a
Autor:
Mathias Kluwe, Thomas Kolb, Sören Hohmann, Johannes Ruf, Martin Zimmerlin, W. Köppel, Thomas Leibfried, Patrick S. Sauter, Michael Suriyah
Publikováno v:
2018 53rd International Universities Power Engineering Conference (UPEC).
Focus of this work is the development and testing of a collaboration and simulation environment enabling modelling experts from different domains with domain-specific software and tools to contribute to new control approaches for locally interconnect
Publikováno v:
2017 Ninth Annual IEEE Green Technologies Conference (GreenTech).
This paper presents the results of a comparison of the well-established power-flow algorithms Gauss-Seidel, Newton-Raphson, Dishonest Newton-Raphson, Decoupled Load Flow, Fast Decoupled Load Flow, DC Power-Flow and the new Holomorphic Embedding Load
Publikováno v:
2016 IEEE International Conference on Power System Technology (POWERCON).
One strategy to deal with further increase of renewable energy generation (REG) is to manage energy production, consumption and storage locally. An approach is shown which enables the usage of the gas distribution grid as an energy storage for the el
Publikováno v:
Mathematics and Computers in Simulation. 39:485-489
Publikováno v:
auto. 43:289-296
Most of the tasks of supervisory control are solved by human operators by means of experience and heuristic decision rules. If these tasks are to be included into automatic process control, qualitative models have to be set up and used in addition to
Autor:
Mathias Kluwe, Sören Hohmann
Publikováno v:
at – Automatisierungstechnik. 62:239-240