Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Paul Westermann"'
Autor:
Paul Westermann, Ralph Evins
Publikováno v:
Energy and AI, Vol 3, Iss , Pp 100039- (2021)
Fast machine learning-based surrogate models are trained to emulate slow, high-fidelity engineering simulation models to accelerate engineering design tasks. This introduces uncertainty as the surrogate is only an approximation of the original model.
Externí odkaz:
https://doaj.org/article/7a49e0e6b4994022a695aae8b7b0a625
Autor:
Paul Westermann, Matthias Grünewald, Ingolf Cascorbi, Thomas Herdegen, Ruwen Böhm, Henning Ohnesorge, Martin Gleim
Publikováno v:
European Journal of Pain. 25:1739-1750
BACKGROUND Spironolactone (SPL) is a reversible mineralocorticoid receptor (MR) and androgen receptor (AR) antagonist which attracts pharmacotherapeutic interest not only because of its beneficial effects in heart failure but also because of the path
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd0bac7c420dd00ba6343f14ad58ab5d
https://doi.org/10.1002/ejp.1784
https://doi.org/10.1002/ejp.1784
Publikováno v:
Building Simulation Conference Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7de10a9aa23438c5f09a403b278c148f
https://doi.org/10.26868/25222708.2021.30635
https://doi.org/10.26868/25222708.2021.30635
Publikováno v:
Building Simulation Conference Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cde1ba5e1de7135db7ca8157eee4720c
https://doi.org/10.26868/25222708.2021.30726
https://doi.org/10.26868/25222708.2021.30726
Autor:
Paul Westermann, Ralph Evins
Publikováno v:
Energy and Buildings. 198:170-186
Statistical models can be used as surrogates of detailed simulation models. Their key advantage is that they are evaluated at low computational cost which can remove computational barriers in building performance simulation. This comprehensive review
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8caaada4be6b0e180872cb5d2bc93896
https://doi.org/10.1016/j.enbuild.2019.05.057
https://doi.org/10.1016/j.enbuild.2019.05.057
Publikováno v:
Journal of Physics: Conference Series. 2042:012012
Machine learning-based surrogate models are trained on building energy simulation input and output data. Their key advantage is their computational speed allowing them to produce building performance estimates in fractions of a second. In this work w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8800e1f4718e8a4681b9a4c7c242c5c
https://doi.org/10.1088/1742-6596/2042/1/012012
https://doi.org/10.1088/1742-6596/2042/1/012012
Publikováno v:
Energy and Buildings. 241:110889
Reliable data-driven models that estimate building envelope properties are indispensable for achieving emissions reduction targets. An extensive body of existing research investigates such methods, but benchmarking is limited and it is often unclear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b657b8e3303da89a7aee864c0b3a84cc
https://doi.org/10.1016/j.enbuild.2021.110889
https://doi.org/10.1016/j.enbuild.2021.110889
Publikováno v:
Journal of Open Source Software. 6:2677
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d734ee473315308c265f488d196b6d8
https://doi.org/10.21105/joss.02677
https://doi.org/10.21105/joss.02677
Publikováno v:
Applied Energy. 278:115563
Surrogate models can emulate physics-based building energy simulation with a machine learning model trained on simulation input and output data. The trained model is extremely fast to run, allowing us to estimate simulation outcomes for thousands of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89f8757821bd9f4a7a3565ced7937880
https://doi.org/10.1016/j.apenergy.2020.115563
https://doi.org/10.1016/j.apenergy.2020.115563
Publikováno v:
Applied Energy. 264:114715
A high-quality building energy retrofit analysis requires knowledge of building characteristics like the type of installed heating system. This means auditing the building in person or conducting a detailed survey, which is not readily scalable for m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b57c9d65f014da1fbca1f36ece3df1b5
https://doi.org/10.1016/j.apenergy.2020.114715
https://doi.org/10.1016/j.apenergy.2020.114715