Philipp Geyer

发表

A Performance-Based Clustering Method for Retrofit Management of Building Stocks

Philipp Geyer, 2014 .

Multidisciplinary grammars supporting design optimization of buildings

Philipp Geyer, P. Geyer, 2008 .

Uncertainty Analysis of Life Cycle Energy Assessment in Early Stages of Design

Philipp Geyer, Werner Lang, Hannes Harter, 2020 .

Simulation-based Decision-making in Early Design Stages

Philipp Geyer, André Borrmann, Fabian Ritter, 2015 .

Identifying Thermal Microgrids on the Basis of Spatialized Fuzzy Logic and Metamodelling

Philipp Geyer, Fabian Ritter, 2015 .

Deep convolutional learning for general early design stage prediction models

Johan A. K. Suykens, Philipp Geyer, Sundaravelpandian Singaravel, 2019, Adv. Eng. Informatics.

Systems modelling for sustainable building design

Philipp Geyer, 2012, Adv. Eng. Informatics.

Proceedings of the 26th International Workshop on Intelligent Computing in Engineering (EG-ICE)

Frank De Troyer, Karen Allacker, Pieter Pauwels, 2019 .

Hybrid thermo-chemical district networks – Principles and technology

Philipp Geyer, Martin Buchholz, Reiner Buchholz, 2017 .

Von der digitalen Linie zum Systemmodell. Information und Wissen in der Entwurfsmodellierung mit dem Computer

Philipp Geyer, 2013 .

Integrating requirement analysis and multi-objective optimization for office building energy retrofit strategies

Philipp Geyer, Werner Lang, Yunming Shao, 2014 .

Information requirements for multi-level-of-development BIM using sensitivity analysis for energy performance

Philipp Geyer, Manav Mahan Singh, M. Singh, 2020, Adv. Eng. Informatics.

Economic Evaluation and Simulation for the Hasselt Case Study: Thermochemical District Network Technology vs. Alternative Technologies for Heating

Philipp Geyer, Muhannad Delwati, Ahmed Ammar, 2019, Energies.

Models And Production Systems For Multidisciplinary Optimization In Building Design

Philipp Geyer, 2006 .

Parametric systems modeling for sustainable energy and resource flows in buildings and their urban environment

Philipp Geyer, Martin Buchholz, 2012 .

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

Philipp Geyer, Martin Buchholz, 2010 .

Component-oriented decomposition for multidisciplinary design optimization in building design

Philipp Geyer, P. Geyer, 2009, Adv. Eng. Informatics.

Advanced computing for the built environment

Philipp Geyer, André Borrmann, Christian Koch, 2013, Adv. Eng. Informatics.

Embedding optimization in the design process of buildings – a hall example

Philipp Geyer, P. Geyer, 2007 .

Using the Systems Modelling Language (SysML) for decision modelling for sustainable building design

Philipp Geyer, 2014 .

District Energy Systems: A Collaborative Exchange of Results on Planning, Operation and Modelling for Energy Efficiency

Meritxell Vinyals, Philipp Geyer, Borna Doračić, 2018, Proceedings.

Clustering and Fuzzy Reasoning as Data Mining Methods for the Development of Retrofit Strategies for Building Stocks

Philipp Geyer, Arno Schlueter, 2017 .

Application of clustering for the development of retrofit strategies for large building stocks

Philipp Geyer, Arno Schlueter, Sasha Cisar, 2017, Adv. Eng. Informatics.

Design Decision Support - Real-time Energy Simulation in the Early Design Stages

Philipp Geyer, André Borrmann, Frank Petzold, 2014 .

Automated metamodel generation for Design Space Exploration and decision-making – A novel method supporting performance-oriented building design and retrofitting

Philipp Geyer, Arno Schlüter, A. Schlüter, 2014 .

Simplifying Building Energy Performance Models to support an integrated building design workflow

Philipp Geyer, Sundaravelpandian Singaravel, 2016 .

Deep Neural Network Architectures for Component-Based Machine Learning Model in Building Energy Predictions

Philipp Geyer, Johan Suykens, Sundaravelpandian Singaravel, 2017 .

Statistical Decision Assistance for Determining Energy-Efficient Options In Building Design Under Uncertainty

Philipp Geyer, Manav Mahan Singh, M. Singh, 2018, EG-ICE.

The design space exploration assistance method: constraints and objectives

Philipp Geyer, André Borrmann, Fabian Ritter, 2013 .

Linking BIM and Design of Experiments to balance architectural and technical design factors for energy performance

Philipp Geyer, Arno Schlueter, A. Schlueter, 2018 .

Analysis of Georeferenced Building Data for the Identification and Evaluation of Thermal Microgrids

Philipp Geyer, Arno Schlueter, Sasha Cisar, 2016, Proceedings of the IEEE.

Component-Based Machine Learning for Energy Performance Prediction by MultiLOD Models in the Early Phases of Building Design

Philipp Geyer, Manav Mahan Singh, Sundaravelpandian Singaravel, 2018, EG-ICE.

Deep-learning neural-network architectures and methods: Using component-based models in building-design energy prediction

Philipp Geyer, Johan Suykens, Sundaravelpandian Singaravel, 2018, Adv. Eng. Informatics.

System Modeling for Energy-efficient and CO2-absorbing Building Design and City Planning

Philipp Geyer, 2012 .

Consistent management and evaluation of building models in the early design stages

Philipp Geyer, Werner Lang, Frank Petzold, 2020, J. Inf. Technol. Constr..

Deep Component-Based Neural Network Energy Modelling for Early Design Stage Prediction

Philipp Geyer, Sundaravelpandian Singaravel, 2018 .

Performance-Based Clustering for Building Stock Management at Regional Level

Philipp Geyer, Arno SchlÃ¼ter, 2016 .

A Systems Engineering Methodology for Designing and Planning the Built Environment - Results from the Urban Research Laboratory Nuremberg and Their Integration in Education

Philipp Geyer, Jochen Stopper, Werner Lang, 2014, Syst..

Evaluation of building design variants in early phases on the basis of adaptive detailing strategies and system-based simulation of energy flows for such models

Philipp Geyer, Werner Lang, Frank Petzold, 2017 .

Component-based machine learning for performance prediction in building design

Philipp Geyer, Sundaravelpandian Singaravel, Sundaravelpandian Singaravel, 2018, Applied Energy.

Machine learning for early stage building energy prediction: Increment and enrichment

Philipp Geyer, Sundaravelpandian Singaravel, Manav Mahan Singh, 2021, Applied Energy.

Explainable AI for engineering design: A unified approach of systems engineering and component-based deep learning pdf

Philipp Geyer, Manav Mahan Singh, Xia Chen, 2021, ArXiv.

Fusing data, engineering knowledge and artificial intelligence for the built environment

Pieter Pauwels, Philipp Geyer, Christian Koch, 2021, Adv. Eng. Informatics.

Conceptions for MDO in Structural Design of Buildings

Philipp Geyer, Klaus Rueckert, 2005 .