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Die folgende Bibliografie enthält alle in dieser Datenbank indizierten Veröffentlichungen, die mit diesem Namen als Autor, Herausgeber oder anderweitig Beitragenden verbunden sind.

  1. Stoffel, Phillip / Berktold, Max / Müller, Dirk (2024): Real-life data-driven model predictive control for building energy systems comparing different machine learning models. In: Energy and Buildings, v. 305 (Februar 2024).

    https://doi.org/10.1016/j.enbuild.2024.113895

  2. Mork, Maximilian / Redder, Florian / Xhonneux, André / Müller, Dirk (2023): Real-world implementation and evaluation of a Model Predictive Control framework in an office space. In: Journal of Building Engineering, v. 78 (November 2023).

    https://doi.org/10.1016/j.jobe.2023.107619

  3. Wirtz, Marco / Heleno, Miguel / Romberg, Hannah / Schreiber, Thomas / Müller, Dirk (2023): Multi-period design optimization for a 5th generation district heating and cooling network. In: Energy and Buildings, v. 284 (April 2023).

    https://doi.org/10.1016/j.enbuild.2023.112858

  4. Cai, Xiaoye / Schild, Thomas / Kümpel, Alexander / Müller, Dirk (2023): MODI: A Structured Development Process of Mode-Based Control Algorithms in the Early Design Stage of Building Energy Systems. In: Buildings, v. 13, n. 2 (14 Februar 2023).

    https://doi.org/10.3390/buildings13020267

  5. Blechmann, Sebastian / Sowa, Igor / Schraven, Markus Hans / Streblow, Rita / Müller, Dirk / Monti, Antonello (2023): Open source platform application for smart building and smart grid controls. In: Automation in Construction, v. 145 (Januar 2023).

    https://doi.org/10.1016/j.autcon.2022.104622

  6. Mork, Maximilian / Materzok, Nick / Xhonneux, André / Müller, Dirk (2022): Nonlinear Hybrid Model Predictive Control for building energy systems. In: Energy and Buildings, v. 270 (September 2022).

    https://doi.org/10.1016/j.enbuild.2022.112298

  7. Henn, Sarah / Richarz, Jan / Maier, Laura / Ying, Xuchao / Osterhage, Tanja / Mehrfeld, Philipp / Müller, Dirk (2022): Influences of usage intensity and weather on optimal building energy system design with multiple storage options. In: Energy and Buildings, v. 270 (September 2022).

    https://doi.org/10.1016/j.enbuild.2022.112222

  8. Rewitz, Kai / Müller, Dirk (2022): Influence of gender, age and BMI on human physiological response and thermal sensation for transient indoor environments with displacement ventilation. In: Building and Environment, v. 219 (Juli 2022).

    https://doi.org/10.1016/j.buildenv.2022.109045

  9. Kümpel, Alexander / Teichmann, Jens / Mathis, Paul / Müller, Dirk (2022): Modular hydronic subsystem models for testing and improving control algorithms of air-handling units. In: Journal of Building Engineering, v. 53 (August 2022).

    https://doi.org/10.1016/j.jobe.2022.104439

  10. Alfalouji, Qamar / Schranz, Thomas / Kümpel, Alexander / Schraven, Markus / Storek, Thomas / Gross, Stephan / Monti, Antonello / Müller, Dirk / Schweiger, Gerald (2022): IoT Middleware Platforms for Smart Energy Systems: An Empirical Expert Survey. In: Buildings, v. 12, n. 5 (24 April 2022).

    https://doi.org/10.3390/buildings12050526

  11. Mork, Maximilian / Xhonneux, André / Müller, Dirk (2022): Nonlinear Distributed Model Predictive Control for multi-zone building energy systems. In: Energy and Buildings, v. 264 (Juni 2022).

    https://doi.org/10.1016/j.enbuild.2022.112066

  12. Krützfeldt, Hannah / Vering, Christian / Mehrfeld, Philipp / Müller, Dirk (2021): MILP design optimization of heat pump systems in German residential buildings. In: Energy and Buildings, v. 249 (Oktober 2021).

    https://doi.org/10.1016/j.enbuild.2021.111204

  13. Vering, Christian / Tanrikulu, Abdussamed / Mehrfeld, Philipp / Müller, Dirk (2021): Simulation-based design optimization of heat pump systems considering building variations. In: Energy and Buildings, v. 251 (November 2021).

    https://doi.org/10.1016/j.enbuild.2021.111310

  14. Schreiber, Thomas / Netsch, Christoph / Baranski, Marc / Müller, Dirk (2021): Monitoring data-driven Reinforcement Learning controller training: A comparative study of different training strategies for a real-world energy system. In: Energy and Buildings, v. 239 (Mai 2021).

    https://doi.org/10.1016/j.enbuild.2021.110856

  15. Murray, Alexander / Schütz, Thomas / Pan, Guanru / Müller, Dirk / Hagenmeyer, Veit (2020): On modelling effects in the battery and thermal storage scheduling problem. In: Journal of Building Performance Simulation, v. 14, n. 1 (Dezember 2020).

    https://doi.org/10.1080/19401493.2020.1838611

  16. Haldi, Frédéric / Calì, Davide / Andersen, Rune Korsholm / Wesseling, Mark / Müller, Dirk (2017): Modelling diversity in building occupant behaviour: a novel statistical approach. In: Journal of Building Performance Simulation, v. 10, n. 5-6 (Oktober 2017).

    https://doi.org/10.1080/19401493.2016.1269245

  17. Harb, Hassan / Reinhardt, Jan / Streblow, Rita / Müller, Dirk (2015): MIP approach for designing heating systems in residential buildings and neighbourhoods. In: Journal of Building Performance Simulation, v. 9, n. 3 (August 2015).

    https://doi.org/10.1080/19401493.2015.1051113

  18. Mork, Maximilian / Xhonneux, André / Müller, Dirk (2020): Hierarchical Model Predictive Control for complex building energy systems. In: Bauphysik, v. 42, n. 6 (Dezember 2020).

    https://doi.org/10.1002/bapi.202000031

  19. Wirtz, Marco / Kivilip, Lukas / Remmen, Peter / Müller, Dirk (2020): Quantifying Demand Balancing in Bidirectional Low Temperature Networks. In: Energy and Buildings, v. 224 (Oktober 2020).

    https://doi.org/10.1016/j.enbuild.2020.110245

  20. Bode, Gerrit / Fütterer, Johannes / Müller, Dirk (2018): Mode and storage load based control of a complex building system with a geothermal field. In: Energy and Buildings, v. 158 (Januar 2018).

    https://doi.org/10.1016/j.enbuild.2017.11.026

  21. Risch, Stanley / Remmen, Peter / Müller, Dirk (2021): Influence of data acquisition on the Bayesian calibration of urban building energy models. In: Energy and Buildings, v. 230 (Januar 2021).

    https://doi.org/10.1016/j.enbuild.2020.110512

  22. Wolisz, Henryk / Kull, Tuule Mall / Müller, Dirk / Kurnitski, Jarek (2020): Self-learning model predictive control for dynamic activation of structural thermal mass in residential buildings. In: Energy and Buildings, v. 207 (Januar 2020).

    https://doi.org/10.1016/j.enbuild.2019.109542

  23. Vogt, Marcus / Remmen, Peter / Lauster, Moritz / Fuchs, Marcus / Müller, Dirk (2018): Selecting statistical indices for calibrating building energy models. In: Building and Environment, v. 144 (Oktober 2018).

    https://doi.org/10.1016/j.buildenv.2018.07.052

  24. Li, Jiayu / Liu, Junjie / Wang, Congcong / Wesseling, Mark / Müller, Dirk (2017): PIV experimental study of the large-scale dynamic airflow structures in an aircraft cabin: Swing and oscillation. In: Building and Environment, v. 125 (November 2017).

    https://doi.org/10.1016/j.buildenv.2017.07.043

  25. Sangi, Roozbeh / Kümpel, Alexander / Müller, Dirk (2019): Real-life implementation of a linear model predictive control in a building energy system. In: Journal of Building Engineering, v. 22 (März 2019).

    https://doi.org/10.1016/j.jobe.2019.01.002

  26. Lengfeld, Martin / Müller, Dirk: Partial replacement of the Obernau dam's asphalt concrete facing. In: Wasserwirtschaft, n. 2018.

    https://doi.org/10.1007/s35147-018-0043-x

  27. Lauster, Moritz / Müller, Dirk (2018): Methoden der Zeitreihenanalyse für die Bewertung von urbanen Gebäudesimulationen. In: Bauphysik, v. 40, n. 6 (Dezember 2018).

    https://doi.org/10.1002/bapi.201800030

  28. Schiefelbein, Jan / Javadi, Amir / Fuchs, Marcus / Müller, Dirk / Monti, Antonello / Diekerhof, Michael (2017): Modellierung und Optimierung von Mischgebieten. In: Bauphysik, v. 39, n. 1 (Februar 2017).

    https://doi.org/10.1002/bapi.201710001

  29. Hoffmann, Susanne / Moser, Franziska / Marks, Alexander / Ansorge, Katrin / Wolisz, Henryk / Huppertz, René / Trautz, Martin / Burggräf, Peter / Müller, Dirk / Osebold, Rainard / Dannapfel, Matthias (2017): IDFP interdisciplinary factory planning: the RWTH Aachen University model. Vorgetragen bei: Interfaces: Architecture, Engineering, Science, Annual Meeting of the International Association of Shell & Spatial Structures (IASS), Hamburg, 25-27 September 2017.
  30. Döring, Bernd / Feldmann, Markus / Kuhnhenne, Markus / Müller, Dirk (2011): Phasenwechselmaterial im Metallleichtbau zur Optimierung von Energieeffizienz und sommerlicher Raumtemperatur. In: Stahlbau, v. 80, n. 9 (September 2011).

    https://doi.org/10.1002/stab.201101465

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