A Data-Driven Surrogate Modelling Approach for Acceleration of Short-Term Simulations of a Dynamic Urban Drainage Simulator
In this study, applicability of a data-driven Gaussian Process Emulator (GPE) technique to develop a dynamic surrogate model for a computationally expensive urban drainage simulator is investigated. Considering rainfall time series as the main driving force is a challenge in this regard due to the h...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-12-01
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Series: | Water |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-4441/10/12/1849 |