1. A hybrid-model forecasting framework for reducing the building energy performance gap. (April 2022) Authors: Chen, Xia; Guo, Tong; Kriegel, Martin; Geyer, Philipp Journal: Advanced engineering informatics Issue: Volume 52(2022) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. Application of clustering for the development of retrofit strategies for large building stocks. Issue 1 (January 2017) Authors: Geyer, Philipp; Schlüter, Arno; Cisar, Sasha Journal: Advanced engineering informatics Issue: Volume 31:Issue 1(2017:Jan.) Page Start: 32 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
3. Component-based machine learning for performance prediction in building design. (15th October 2018) Authors: Geyer, Philipp; Singaravel, Sundaravelpandian Journal: Applied energy Issue: Volume 228(2018) Page Start: 1439 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
4. Coriolis compensation via gravity in a matter-wave interferometer. (11th March 2020) Authors: Fein, Yaakov Y; Kiałka, Filip; Geyer, Philipp; Gerlich, Stefan; Arndt, Markus Journal: New journal of physics Issue: Volume 22:Number 3(2020:Mar.) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
5. Deep convolutional learning for general early design stage prediction models. (October 2019) Authors: Singaravel, Sundaravelpandian; Suykens, Johan; Geyer, Philipp Journal: Advanced engineering informatics Issue: Volume 42(2019) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
6. Deep-learning neural-network architectures and methods: Using component-based models in building-design energy prediction. (October 2018) Authors: Singaravel, Sundaravelpandian; Suykens, Johan; Geyer, Philipp Journal: Advanced engineering informatics Issue: Volume 38(2018) Page Start: 81 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
7. Explainable deep convolutional learning for intuitive model development by non–machine learning domain experts. (2020) Authors: Singaravel, Sundaravelpandian; Suykens, Johan; Janssen, Hans; Geyer, Philipp Journal: Design science Issue: Volume 6(2020) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
8. Explainable deep convolutional learning for intuitive model development by non–machine learning domain experts. (5th October 2020) Authors: Singaravel, Sundaravelpandian; Suykens, Johan; Janssen, Hans; Geyer, Philipp Journal: Design science Issue: Volume 6(2020) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
9. Fusing data, engineering knowledge and artificial intelligence for the built environment. (April 2021) Authors: Geyer, Philipp; Koch, Christian; Pauwels, Pieter Journal: Advanced engineering informatics Issue: Volume 48(2021) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
10. Hybrid thermo-chemical district networks – Principles and technology. (15th January 2017) Authors: Geyer, Philipp; Buchholz, Martin; Buchholz, Reiner; Provost, Mathieu Journal: Applied energy Issue: Volume 186:Part 3(2017) Page Start: 480 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗