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Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Dive into the research topics where Julien Leprince is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Research output
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Data science for buildings, a multi-scale approach bridging occupants to smart-city energy planning
Leprince, J., 22 May 2023, Eindhoven: Eindhoven University of Technology. 186 p.Research output: Thesis › Phd Thesis 1 (Research TU/e / Graduation TU/e)
Open AccessFile236 Downloads (Pure) -
Fifty shades of grey: Automated stochastic model identification of building heat dynamics
Leprince, J., Madsen, H., Miller, C., Real, J. P., van der Vlist, R., Basu, K. & Zeiler, W., 1 Jul 2022, In: Energy and Buildings. 266, 11 p., 112095.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile15 Citations (Scopus)24 Downloads (Pure) -
Data Mining Cubes for Buildings, A Generic Framework for Multidimensional Analytics of Building Performance Data
Leprince, J., Miller, C. & Zeiler, W., 1 Oct 2021, In: Energy and Buildings. 248, 16 p., 111195.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile14 Citations (Scopus)73 Downloads (Pure) -
Fifty shades of black: Uncovering physical models from symbolic regressions for scalable building heat dynamics identification
Leprince, J., Miller, C., Frei, M., Madsen, H. & Zeiler, W., 17 Nov 2021, BuildSys 2021 - Proceedings of the 2021 ACM International Conference on Systems for Energy-Efficient Built Environments. Association for Computing Machinery, Inc, p. 345-348 4 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open Access4 Citations (Scopus) -
A Robust Building Energy Pattern Mining Method and its Application to Demand Forecasting
Leprince, J. & Zeiler, W., 7 Sept 2020, SEST 2020 - 3rd International Conference on Smart Energy Systems and Technologies. p. 1-6 6 p. 9203357Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
1 Citation (Scopus)
Datasets
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Grey-brick buildings, an open data set of calibrated RC models of Dutch residential building heat dynamics
Leprince, J. (Creator), Miller, C. (Creator), Madsen, H. (Creator), Basu, K. (Creator), van der Vlist, R. (Creator) & Zeiler, W. (Creator), Zenodo, 6 Nov 2022
DOI: 10.5281/zenodo.7180260, https://zenodo.org/record/7180260
Dataset
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JulienLeprince/greybrickbuildings_v1.0
Leprince, J. (Creator), Miller, C. (Creator), Madsen, H. (Creator), Basu, K. (Creator), van der Vlist, R. (Creator) & Zeiler, W. (Creator), Zenodo, 10 Oct 2022
Dataset