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Published in 2017 at "Energy and Buildings"
DOI: 10.1016/j.enbuild.2017.09.009
Abstract: Abstract Many efforts are used to eliminate the gaps between physical measurements and simulation results. The Bayesian calibration technique is one of the popular automatic calibration methods Allowing for all sources of uncertainty, the method…
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Keywords:
model;
calibration;
bayesian calibration;
simulation ... See more keywords
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Published in 2019 at "Journal of Building Engineering"
DOI: 10.1016/j.jobe.2019.100823
Abstract: Abstract Meta-model-based optimization eases the burden of large time and computational costs by replacing the entire simulation process (which requires solutions of transient transfer equations) with the evaluation of simple meta-model functions (such as polynomials)…
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Keywords:
energy loads;
models building;
meta models;
building energy ... See more keywords
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Published in 2022 at "Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering"
DOI: 10.1177/09544089221111593
Abstract: Robust optimization (RO) of designs becomes indispensable to deal with inherent manufacturing uncertainties. Yet, RO is still too expensive to solve complex problems such as the design of helicopter rotor blades. A promising way to…
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Keywords:
helicopter rotor;
meta models;
fidelity;
optimization ... See more keywords
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Published in 2018 at "Journal of Hydroinformatics"
DOI: 10.2166/hydro.2018.087
Abstract: Meta-model based coupled simulation-optimization methodology is an effective tool in developing sustainable saltwater intrusion management strategies for coastal aquifers. Such management strategies largely depend on the accuracy, reliability, and computational feasibility of meta-models and the…
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Keywords:
multi objective;
coastal aquifers;
management;
parameter uncertainty ... See more keywords