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Gaussian approximation potentials

AP Bartõk, G Csányi

May 27, 2015

ab initio Atomic environments Gaussian process Interatomic potentials Machine Learning

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An integrated dimensionality reduction and surrogate optimization approach for plant-wide chemical process operation

TR Savage, F Almeida-Trasvina, EA del-Rio Chanona, R Smith, D Zhang

Jul 02, 2021

Abstract: With liquefied natural gas becoming increasingly prevalent as a flexible source of energy, the design and optimization of industrial refrigeration cycles becomes even more important. In this article, we propose an...

dimensionality reduction Gaussian process liquefied natural gas production operational optimization surrogate modeling

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Hybrid forecasting method for wind power integrating spatial correlation and corrected numerical weather prediction

Shuai Hu, Yue Xiang, Hongcai Zhang, Shanyi Xie, Jianhua Li, Chenghong Gu, Wei Sun, Junyong Liu

Jul 01, 2021

Wind power generation rapidly grows worldwide with declining costs and the pursuit of decarbonised energy systems. However, the utilization of wind energy remains challenging due to its strong stochastic nature. Accurate wind...

Gaussian process Hybrid model Kernel function numerical weather prediction Spatial correlation Wind power forecasting /dk/atira/pure/subjectarea/asjc/2200/2215 name=Building and Construction /dk/atira/pure/subjectarea/asjc/2200/2210 name=Mechanical Engineering /dk/atira/pure/subjectarea/asjc/2100/2100 name=General Energy /dk/atira/pure/subjectarea/asjc/2300/2308 name=Management, Monitoring, Policy and Law

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Multi-level emulation of tsunami simulations over Cilacap, South Java, Indonesia

Ayao Ehara, Dimitra M. Salmanidou, Mohammad Heidarzadeh, Serge Guillas

Feb 28, 2023

Carrying out a Probabilistic Tsunami Hazard Assessment (PTHA) requires a large number of simulations done at a high resolution. Statistical emulation builds a surrogate to replace the simulator and thus reduces computational...