Component-oriented decomposition for multidisciplinary design optimization in building design. - Philipp Geyer (Adv. Eng. Informatics, 2009)

Multidisziplinäre Entwurfsoptimierung für das Bauwesen (Multidisciplinary Design Optimization for Buidlings) - Philipp Geyer (2010)

Systems modelling for sustainable building design. - Philipp Geyer (Adv. Eng. Informatics, 2012)

Advanced computing for the built environment. - André Borrmann; Philipp Geyer; Christian Koch 001 (Adv. Eng. Informatics, 2013)

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; Maximilian Thumfart (Syst., 2014)

Analysis of Georeferenced Building Data for the Identification and Evaluation of Thermal Microgrids. - Arno Schlueter; Philipp Geyer; Sasha Cisar (Proc. IEEE, 2016)

Application of clustering for the development of retrofit strategies for large building stocks. - Philipp Geyer; Arno Schlueter; Sasha Cisar (Adv. Eng. Informatics, 2017)

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 (EG-ICE, 2018)

Statistical Decision Assistance for Determining Energy-Efficient Options In Building Design Under Uncertainty. - Manav Mahan Singh; Philipp Geyer (EG-ICE, 2018)

Deep-learning neural-network architectures and methods: Using component-based models in building-design energy prediction. - Sundaravelpandian Singaravel; Johan A. K. Suykens; Philipp Geyer (Adv. Eng. Informatics, 2018)

Deep convolutional learning for general early design stage prediction models. - Sundaravelpandian Singaravel; Johan A. K. Suykens; Philipp Geyer (Adv. Eng. Informatics, 2019)

Information requirements for multi-level-of-development BIM using sensitivity analysis for energy performance. - Manav Mahan Singh; Philipp Geyer (Adv. Eng. Informatics, 2020)

Quick energy prediction and comparison of options at the early design stage. - Manav Mahan Singh; Sundaravelpandian Singaravel; Ralf Klein; Philipp Geyer (Adv. Eng. Informatics, 2020)

Consistent management and evaluation of building models in the early design stages. - Jimmy Abualdenien; Patricia Schneider-Marin; Ata Zahedi; Hannes Harter; Hannah Exner; Daniel Steiner; Manav Mahan Singh; André Borrmann; Werner Lang; Frank Petzold; Markus König; Philipp Geyer; et al. (J. Inf. Technol. Constr., 2020)

Fusing data, engineering knowledge and artificial intelligence for the built environment. - Philipp Geyer; Christian Koch 001; Pieter Pauwels (Adv. Eng. Informatics, 2021)

Explainable AI for engineering design: A unified approach of systems engineering and component-based deep learning. - Philipp Geyer; Manav Mahan Singh; Xia Chen (CoRR, 2021)

A hybrid-model forecasting framework for reducing the building energy performance gap. - Xia Chen; Tong Guo; Martin Kriegel; Philipp Geyer (Adv. Eng. Informatics, 2022)

Introducing causal inference in the energy-efficient building design process. - Xia Chen; Jimmy Abualdenien; Manav Mahan Singh; André Borrmann; Philipp Geyer (CoRR, 2022)

A hybrid-model approach for reducing the performance gap in building energy forecasting. - Xia Chen; Tong Guo; Martin Kriegel; Philipp Geyer (CoRR, 2022)

A Dynamic Feedforward Control Strategy for Energy-efficient Building System Operation. - Xia Chen; Xiaoye Cai; Alexander Kümpel; Dirk Müller 005; Philipp Geyer (CoRR, 2023)

Utilizing Domain Knowledge: Robust Machine Learning for Building Energy Prediction with Small, Inconsistent Datasets. - Xia Chen; Manav Mahan Singh; Philipp Geyer (CoRR, 2023)

Pathway toward prior knowledge-integrated machine learning in engineering. - Xia Chen; Philipp Geyer (CoRR, 2023)

Using causal inference to avoid fallouts in data-driven parametric analysis: a case study in the architecture, engineering, and construction industry. - Xia Chen; Ruiji Sun; Ueli Saluz; Stefano Schiavon; Philipp Geyer (CoRR, 2023)

Explainable AI for engineering design: A unified approach of systems engineering and component-based deep learning demonstrated by energy-efficient building design. - Philipp Geyer; Manav Mahan Singh; Xia Chen (Adv. Eng. Informatics, 2024)

Machine Learning in Proton Exchange Membrane Water Electrolysis - Part I: A Knowledge-Integrated Framework. - Xia Chen; Alexander Rex; Janis Woelke; Christoph Eckert; Boris Bensmann; Richard Hanke-Rauschenbach; Philipp Geyer (CoRR, 2024)

Integrating Symbolic Neural Networks with Building Physics: A Study and Proposal. - Xia Chen; Guoquan Lv; Xinwei Zhuang; Carlos Duarte; Stefano Schiavon; Philipp Geyer (CoRR, 2024)

Utilizing domain knowledge: Robust machine learning for building energy performance prediction with small, inconsistent datasets. - Xia Chen; Manav Mahan Singh; Philipp Geyer (Knowl. Based Syst., 2024)

Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX. - Xia Chen; Xiangbin Teng; Han Chen; Yafeng Pan; Philipp Geyer (Biomed. Signal Process. Control., 2024)

Component-Based Machine Learning for Indoor Flow and Temperature Fields Prediction Latent Feature Aggregation and Flow Interaction. - Shaofan Wang; Nils Thuerey; Philipp Geyer (CoRR, 2025)