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)

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)

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)

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

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

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)