Sparse polynomial chaos expansions: Literature survey and benchmark
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 …
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 …
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
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 …
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 …
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 …
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
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 …
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 …
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
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) …
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
Combining photovoltaic arrays with batteries, heat pumps and thermal storage further
decarbonizes the heating sector. When evaluating the performance of such systems, the …
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 …
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 …
Renewable hydrogen is a potential option to decarbonize heavy-duty transport, such as …