A suite of metrics for assessing the performance of solar power forecasting
Forecasting solar energy generation is a challenging task because of the variety of solar
power systems and weather regimes encountered. Inaccurate forecasts can result in …
power systems and weather regimes encountered. Inaccurate forecasts can result in …
Recent developments in metamodel based robust black-box simulation optimization: An overview
In the real world of engineering problems, in order to reduce optimization costs in physical
processes, running simulation experiments in the format of computer codes have been …
processes, running simulation experiments in the format of computer codes have been …
Ensemble learning of multi-kernel Kriging surrogate models using regional discrepancy and space-filling criteria-based hybrid sampling method
X Shang, Z Zhang, H Fang, B Li, Y Li - Advanced Engineering Informatics, 2023 - Elsevier
Kriging surrogate model has been widely used to simulate expensive models in engineering
application. Ensemble of multi-kernel Kriging surrogate models can integrate the information …
application. Ensemble of multi-kernel Kriging surrogate models can integrate the information …
A dynamic surrogate-assisted evolutionary algorithm framework for expensive structural optimization
M Yu, X Li, J Liang - Structural and Multidisciplinary Optimization, 2020 - Springer
In the expensive structural optimization, the data-driven surrogate model has been proven to
be an effective alternative to physical simulation (or experiment). However, the static …
be an effective alternative to physical simulation (or experiment). However, the static …
Surrogate based multidisciplinary design optimization of lithium-ion battery thermal management system in electric vehicles
A battery thermal management system (BTMS) is a complex system that uses various heat
removal and temperature control strategies to keep battery packs at optimal thermal …
removal and temperature control strategies to keep battery packs at optimal thermal …
Baseline and target values for regional and point PV power forecasts: Toward improved solar forecasting
Accurate solar photovoltaic (PV) power forecasting allows utilities to reliably utilize solar
resources on their systems. However, to truly measure the improvements that any new solar …
resources on their systems. However, to truly measure the improvements that any new solar …
Optimal weighted pointwise ensemble of radial basis functions with different basis functions
The radial basis functions (RBF) interpolation model has been extensively used in various
engineering fields. All these applications call for accurate RBF models. The RBF predictions …
engineering fields. All these applications call for accurate RBF models. The RBF predictions …
Hybrid nonlinear surrogate models for fracture behavior of polymeric nanocomposites
We present a hybrid nonlinear surrogate model for fracture in polymeric nanocomposites.
The phase field method is employed to model fracture in the polymer matrix. Since the …
The phase field method is employed to model fracture in the polymer matrix. Since the …
On the usefulness of gradient information in surrogate modeling: Application to uncertainty propagation in composite material models
In this work, the performance of non-gradient as well as gradient-enhanced versions of two
different classes of surrogate modeling approaches, polynomial least squares regression …
different classes of surrogate modeling approaches, polynomial least squares regression …
Aerodynamic optimisation of a high-speed train head shape using an advanced hybrid surrogate-based nonlinear model representation method
Z He, X Xiong, B Yang, H Li - Optimization and Engineering, 2022 - Springer
A global optimisation strategy based on the hybrid surrogate model method and the
competitive mechanism-based multi-objective particle swarm optimisation (CMOPSO) …
competitive mechanism-based multi-objective particle swarm optimisation (CMOPSO) …