Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Rüdiger Franke"'
Publikováno v:
Energy and AI, Vol 12, Iss , Pp 100227- (2023)
Reinforcement learning (RL) is a promising optimal control technique for multi-energy management systems. It does not require a model a priori - reducing the upfront and ongoing project-specific engineering effort and is capable of learning better re
Externí odkaz:
https://doaj.org/article/68aca0d2b26848d1b84a4a728e7440e0
Autor:
Peter Fritzson, Adrian Pop, Karim Abdelhak, Adeel Ashgar, Bernhard Bachmann, Willi Braun, Daniel Bouskela, Robert Braun, Lena Buffoni, Francesco Casella, Rodrigo Castro, Rüdiger Franke, Dag Fritzson, Mahder Gebremedhin, Andreas Heuermann, Bernt Lie, Alachew Mengist, Lars Mikelsons, Kannan Moudgalya, Lennart Ochel, Arunkumar Palanisamy, Vitalij Ruge, Wladimir Schamai, Martin Sjölund, Bernhard Thiele, John Tinnerholm, Per Östlund
Publikováno v:
Modeling, Identification and Control, Vol 41, Iss 4, Pp 241-295 (2020)
OpenModelica is a unique large-scale integrated open-source Modelica- and FMI-based modeling, simulation, optimization, model-based analysis and development environment. Moreover, the OpenModelica environment provides a number of facilities such as d
Externí odkaz:
https://doaj.org/article/d3190df0cbe443b981c9357baaf608dd
Autor:
Rüdiger Franke, Glenn Ceusters, Maarten Messagie, Geert Deconinck, Román Cantú Rodríguez, Lieve Helsen, Luis Ramirez Camargo, Alberte Bouso García, Ann Nowé
Publikováno v:
Vrije Universiteit Brussel
Applied Energy, 303, 1. Elsevier Saunders
Applied Energy, 303, 1. Elsevier Saunders
Model-predictive-control (MPC) offers an optimal control technique to establish and ensure that the total operation cost of multi-energy systems remains at a minimum while fulfilling all system constraints. However, this method presumes an adequate m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::473b1aaab8eaf1b27bd8a2ce73e576c6
http://arxiv.org/abs/2104.09785
http://arxiv.org/abs/2104.09785
Autor:
Christian Maaser, Oldenburg Martin Schmidt-Lauber, Heidelberg Robert Ehehalt, Kassel Frank Bülow, Garmisch-Partenkirchen Maximilian Gemeinhardt, Oberberg Jens Hunkemöller, Peter Hasselblatt, Wipperfürth Marco Wagner, Köln Julia Morgenstern, Iserlohn Martin Hoffstadt, Leipzig Tobias Klugmann, Jens Walldorf, Herne Gisela Felten, Dinkelsbühl Gerd-Rüdiger Franke, Göttingen Ulf Klönne, Berlin Michael R. Mroß, Saarbrücken Markus Casper, Waldbröl Carsten Ising, Greifswald Tilman Pickartz, Berlin Ulrich Finger, Uelzen Jörg Kapp, Hamburg Stefanie Howaldt, Philip Grunert, Main, Berlin Jochen Maul, Matthias Kahl, Lilienthal Martin Reuther, Berlin med. Birgit Gerhard, Albstadt Bernd Swarovsky, Ulrike von Arnim, Elke Christiane Bästlein, Renate Schmelz, Düren Serhat Aymaz, Olaf Engelke, Mössingen Marc Eisold, Düsseldorf Richard Kölble, Oberberg Olaf Mensler, Aachen Ron Winograd, Jena Philipp A. Reuken, Carsten Büning, Heiner Wedemeyer, Münster Axel Schweitzer, Frankfurt Sabine Blau, Fürstenfeldbruck Rainer Kunz, Andernach Franz Josef Heil, Kronach Rolf Seipel, Stefan Schubert, Sven Geißler, Sundern Christoph Rother, Esslingen Wolfgang Vogt, Chemnitz Hans Vibrans, Augsburg Elisabeth Schnoy, Berlin Ulrich Graefe, Babett Holler, Clara Ludewig, Bochum Thorsten Brechmann, Oldenburg Mirko Vonderach, Ludwigshafen Günther Böhm, Düren Georg Schmitz, Dinkelsbühl Wolfgang Breit, Konrad Streetz, Schwäbisch Gmünd Jörg Christian Metzler, Frankfurt Axel Dignaß, Karen Schmidt, S Nagl, Ingolstadt Stefanie Strobl, Thomas Krause, Wolfgang Mohl, Heinsberg Carsten Triller, Tilman Bauer, Köln Jan-Hinnerk Hofer, Bonn Christoph Schmidt, Andreas Stallmach, Niels Teich, Stade Thomas Witthöft, Darmstadt Susanne Wüchner-Hofmann, Markus Hänschen, Hamburg Wolfgang Schwarz, Schwandorf Christoph Balzer, Nürnberg Doris Zink, Lübeck Klaus Schmidt
Zusammenfassung Einleitung Der Einfluss einer SARS-CoV-2-Infektion auf chronisch entzündliche Darmerkrankungen (CED) ist bislang nicht gut charakterisiert, und es ist unklar, ob diese eine Anpassung der immunsuppressiven Therapie erfordert. Methodik
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb92f5284e217032c19b581e0846fc76
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/91427
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/91427
Autor:
Vitalij Ruge, Rüdiger Franke, Adrian Pop, Bernt Lie, Peter Fritzson, John Tinnerholm, Mahder Gebremedhin, Adeel Ashgar, Per Östlund, Karim Abdelhak, Lennart Ochel, Martin Sjölund, Arunkumar Palanisamy, Kannan M. Moudgalya, Wladimir Schamai, Lena Buffoni, Bernhard Thiele, Dag Fritzson, Lars Mikelsons, Daniel Bouskela, Alachew Mengist, Bernhard Bachmann, Willi Braun, Francesco Casella, Rodrigo Castro, Robert Braun, Andreas Heuermann
Publikováno v:
Modeling, Identification and Control, Vol 41, Iss 4, Pp 241-295 (2020)
OpenModelica is a unique large-scale integrated open-source Modelica- and FMI-based modeling, simulation, optimization, model-based analysis and development environment. Moreover, the OpenModelica environment provides a number of facilities such as d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d696746779f1c3604f84457a33d4cb04
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-172069
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-172069
Autor:
Willi Braun, Lennart Ochel, Lena Buffoni, Martin Sjölund, Robert Braun, Mahder Gebremedhin, Alejandro Danós, Alachew Mengist, Adeel Asghar, Rüdiger Franke, Rodrigo Castro, Francesco Casella, Per Östlund, Bernt Lie, Adrian Pop, Bernhard Thiele, Wladimir Schamai, Arunkumar Palanisamy, Kannan M. Moudgalya, Bernhard Bachmann, Peter Fritzson, Volker Waurich
Publikováno v:
Linköping Electronic Conference Proceedings.
Publikováno v:
Modelica
The equation-based object-oriented Modelica language allows easy composition of models from components. It is very easy to create very large parametrized models using component arrays of models. Current open-source and commercial Modelica tools can w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::790f980b02a6402e2c6d417ad9bbf488
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-154345
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-154345
Publikováno v:
Modelica
Autor:
Rüdiger Franke, Lennart Merkert
Publikováno v:
ECC
Increasing share of renewable power generation requires higher flexibility on electricity markets. Holistic energy management schemes for public, commercial and industrial sites and buildings offer potential to profit from those changes. In this pape
Publikováno v:
Control Engineering Practice. 15:839-850
The paper illustrates the benefits of nonlinear model predictive control (NMPC) for the setpoint tracking control of an industrial batch polymerization reactor. Real-time feasibility of the on-line optimization problem from the NMPC is achieved using