94 Suchergebnisse für: Philip Geyer

1. Component-based machine learning modelling approach for design stage building energy prediction: Weather conditions and size

   Singaravel, S., Geyer, P. F. & Suykens, J., 2017, 15th International Conference of the International Building Performance Simulation Association, Building Simulation 2017. Barnaby, C. S. & Wetter, M. (Hrsg.). S. 212-221 10 S. (Building Simulation Conference Proceedings; Band 3).

   Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review

2. Design decision support: Real-time energy simulation in the early design stages

   Ritter, F., Schubert, G., Geyer, P. F., Borrmann, A. & Petzold, F., 17 Juli 2014, (Elektronisch veröffentlicht (E-Pub)) Computing in Civil and Building Engineering - Proceedings of the 2014 International Conference on Computing in Civil and Building Engineering. Issa, R. R. & Flood, I. (Hrsg.). American Society of Civil Engineers (ASCE), S. 2023-2031 9 S.

   Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review

3. CNN-based Quick Energy Prediction Model using Image Analysis for Shape Information

   Geyer, P. F. & Singh, M. M., Sept. 2021, Proceedings of Building Simulation 2021: 17th Conference of IBPSA. Saelens, D., Laverge, J., Boydens, W. & Helsen, L. (Hrsg.). S. 1311-1316 6 S. (Building Simulation Conference Proceedings).

   Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung

4. Deep neural network architectures for component-based machine learning model in building energy predictions

   Singaravel, S., Geyer, P. F. & Suykens, J., 2017, Digital Proceedings of the 24th EG-ICE International Workshop on Intelligent Computing in Engineering 2017. Tizani, W., Koch, C. & Ninic, J. (Hrsg.). Nottingham, S. 260-268 9 S.

   Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review

5. Systems modeling for building design: A method based on the systems modeling language

   Geyer, P. F., 2014, EG-ICE 2011, European Group for Intelligent Computing in Engineering. Hartmann, T., Rafiq, Y. & de Wilde, P. (Hrsg.). Enschede

   Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review

6. Identifying thermal microgrids on the basis of spatialized fuzzy logic and metamodelling

   Geyer, P. F. & Ritter, F., 2015.

   Publikation: Konferenzbeitrag › Paper › Forschung › Peer-Review

7. Component-based machine learning for energy performance prediction by multiLOD models in the early phases of building design

   Geyer, P. F., Singh, M. M. & Singaravel, S., 19 Mai 2018, Advanced Computing Strategies for Engineering - 25th EG-ICE International Workshop 2018, Proceedings. Domer, B. & Smith, I. F. (Hrsg.). Springer Verlag, S. 516-534 19 S. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 10863).

   Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review

8. Conceptions for MDO in Structural Design of Buildings

   Geyer, P. F. & Rückert, K., Jan. 2005, 6th World Congress on Structural and Multidisciplinary Optimization. Herskovits, J., Mazorche, S. & Canelas, A. (Hrsg.). Rio de Janeiro

   Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung

9. Comparison of different meta model approches with a detailed buiding model for long-Term simulations

   Maderspacher, J., Geyer, P. F., Auer, T. & Lang, W., 2015, S. 106-113. 8 S.

   Publikation: Konferenzbeitrag › Paper › Forschung › Peer-Review

10. Design-oriented coupling of system models and spatial models crossing multiple scales for energy simulation in building retrofitting

    Geyer, P. F., 2013, European Group for Intelligent Computing in Engineering, EG-ICE 2013 - 20th International Workshop: Intelligent Computing in Engineering. de Wilde, P., Suter, G. & Rafiq, Y. (Hrsg.). Wien

    Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review

11. Veröffentlicht

    Pathway toward prior knowledge-integrated machine learning in engineering

    Chen, X. & Geyer, P., 2023, in: Building Simulation Conference Proceedings. 18, S. 2331-2338 8 S.

    Publikation: Beitrag in Fachzeitschrift › Konferenzaufsatz in Fachzeitschrift › Forschung › Peer-Review

12. Systems modelling considering qualities and quantities for strategies of sustainable development of a liveable urban district in nuremberg

    Geyer, P. F., Nemeth, I., Lang, W., Wulfhorst, G., Schinabeck, J. & Priester, R., 2012, European Group for Intelligent Computing in Engineering, EG-ICE 2012 - International Workshop: Intelligent Computing in Engineering. Borrmann, A., Rafiq, Y., Geyer, P. & de Wilde, P. (Hrsg.). Herrsching

    Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review

13. Multi-scale simulation thermochemical district network

    Delwati, M., Saelens, D. & Geyer, P. F., 2019, 16th International Conference of the International Building Performance Simulation Association, Building Simulation 2019. Corrado, V., Fabrizio, E., Gasparella, A. & Patuzzi, F. (Hrsg.). Rom, S. 1889-1897 9 S. (Building Simulation Conference Proceedings; Band 3).

    Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review

14. H-DisNet: Thermo-chemical solutions for sustainable district energy

    Engel, C., Buchholz, M. & Geyer, P. F., 2018, in: Euroheat and Power (English Edition). 15, 1, S. 29-34 6 S.

    Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review

15. System-Embedded Building Design and Modeling: Parametric systems modeling of buildings and their environment for performance-based and strategic design

    Geyer, P. F. & Buchholz, M., 2010, Future Cities: Proceedings of the 28th Conference on Education in Computer Aided Architectural Design in Europe. Schmitt, G., Hovestad, L., Van Gool, L., Bosché, F., Burkhard, R., Coleman, S., Halatsch, J., Hansmeyer, M., Konsorski-Lang, S., Kunze, A. & Sehmi-Luck, M. (Hrsg.). S. 641-650 10 S. (Proceedings of the International Conference on Education and Research in Computer Aided Architectural Design in Europe).

    Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review

16. Explainable deep convolutional learning for intuitive model development by non-machine learning domain experts

    Singaravel, S., Suykens, J., Janssen, H. & Geyer, P. F., 5 Okt. 2020, (Elektronisch veröffentlicht (E-Pub)) in: Design Science. 6, 23, 27 S., e23.

    Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review

17. Component-based machine learning for performance prediction in building design

    Geyer, P. F. & Singaravel, S., 15 Okt. 2018, in: Applied energy. 228, S. 1439-1453 15 S.

    Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review

18. Veröffentlicht

    A hybrid-model time-series forecasting approach for reducing the building energy performance gap

    Chen, X., Guo, T. & Geyer, P. F., 2021, EG-ICE 2021 Workshop on Intelligent Computing in Engineering, Proceedings. Abualdenien, J., Borrmann, A., Ungureanu, L-C. & Hartmann, T. (Hrsg.). Berlin, S. 44-53 10 S. (EG-ICE 2021 Workshop on Intelligent Computing in Engineering, Proceedings).

    Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review

19. Information exchange scenarios between machine learning energy prediction model and BIM at early stage of design

    Singh, M. M., Singaravel, S. & Geyer, P. F., 2019, Life-Cycle Analysis and Assessment in Civil Engineering: Towards an Integrated Vision - Proceedings of the 6th International Symposium on Life-Cycle Civil Engineering, IALCCE 2018. Frangopol, D. M., Caspeele, R. & Taerwe, L. (Hrsg.). Ghent, S. 487-494 8 S.

    Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review

20. Multidisciplinary grammars supporting design optimization of buildings

    Geyer, P. F., 11 Jan. 2008, in: Research in engineering design. 18, 4, S. 197-216 20 S.

    Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review