Sparse polynomial chaos expansions: Literature survey and benchmark

N Lüthen, S Marelli, B Sudret - SIAM/ASA Journal on Uncertainty …, 2021 - SIAM
Sparse polynomial chaos expansions (PCE) are a popular surrogate modelling method that
takes advantage of the properties of PCE, the sparsity-of-effects principle, and powerful …

Surrogate-assisted global sensitivity analysis: an overview

K Cheng, Z Lu, C Ling, S Zhou - Structural and Multidisciplinary …, 2020 - Springer
Surrogate models are popular tool to approximate the functional relationship of expensive
simulation models in multiple scientific and engineering disciplines. Successful use of …

Robust design optimization and stochastic performance analysis of a grid-connected photovoltaic system with battery storage and hydrogen storage

D Coppitters, W De Paepe, F Contino - Energy, 2020 - Elsevier
Balancing of intermittent energy such as solar energy can be achieved by batteries and
hydrogen-based storage. However, combining these systems received limited attention in a …

Structural reliability analysis based on ensemble learning of surrogate models

K Cheng, Z Lu - Structural Safety, 2020 - Elsevier
Assessing the failure probability of complex structure is a difficult task in presence of various
uncertainties. In this paper, a new adaptive approach is developed for reliability analysis by …

Data mining with 12 machine learning algorithms for predict costs and carbon dioxide emission in integrated energy-water optimization model in buildings

ME Javanmard, SF Ghaderi, M Hoseinzadeh - Energy Conversion and …, 2021 - Elsevier
In recent years, various models, which employ green and sustainable energy-supplying
systems, have been presented in different ways to optimize water and energy consumption …

How can power-to-ammonia be robust? Optimization of an ammonia synthesis plant powered by a wind turbine considering operational uncertainties

K Verleysen, D Coppitters, A Parente, W De Paepe… - Fuel, 2020 - Elsevier
The increasing share of wind energy induces a strain on the electricity network. To unburden
the transmission system operators from this strain, the dispensable wind energy can locally …

Adaptive sparse polynomial chaos expansions for global sensitivity analysis based on support vector regression

K Cheng, Z Lu - Computers & Structures, 2018 - Elsevier
In the context of uncertainty analysis, Polynomial chaos expansion (PCE) has been proven
to be a powerful tool for developing meta-models in a wide range of applications, especially …

Spatiotemporal behind-the-meter load and PV power forecasting via deep graph dictionary learning

M Khodayar, G Liu, J Wang, O Kaynak… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
In recent years, with the rapid growth of rooftop photovoltaic (PV) generation in distribution
networks, power system operators call for accurate forecasts of the behind-the-meter (BTM) …

Robust design optimization of a photovoltaic-battery-heat pump system with thermal storage under aleatory and epistemic uncertainty

D Coppitters, W De Paepe, F Contino - Energy, 2021 - Elsevier
Combining photovoltaic arrays with batteries, heat pumps and thermal storage further
decarbonizes the heating sector. When evaluating the performance of such systems, the …

How can renewable hydrogen compete with diesel in public transport? Robust design optimization of a hydrogen refueling station under techno-economic and …

D Coppitters, K Verleysen, W De Paepe, F Contino - Applied Energy, 2022 - Elsevier
Heavy-duty transport represents nearly 6% of the greenhouse gas emissions in Europe.
Renewable hydrogen is a potential option to decarbonize heavy-duty transport, such as …