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De Meulenaere R, Coppitters D, Sikkema A, Maertens T, Blondeau J. Uncertainty Quantification for Thermodynamic Simulations with High-Dimensional Input Spaces Using Sparse Polynomial Chaos Expansion: Retrofit of a Large Thermal Power Plant. Applied Sciences. 2023; 13(19):10751. https://doi.org/10.3390/app131910751

De Meulenaere, Roeland, Diederik Coppitters, Ale Sikkema, Tim Maertens, and Julien Blondeau. 2023. "Uncertainty Quantification for Thermodynamic Simulations with High-Dimensional Input Spaces Using Sparse Polynomial Chaos Expansion: Retrofit of a Large Thermal Power Plant" Applied Sciences 13, no. 19: 10751. https://doi.org/10.3390/app131910751

De Meulenaere, R., Coppitters, D., Sikkema, A., Maertens, T., & Blondeau, J. (2023). Uncertainty Quantification for Thermodynamic Simulations with High-Dimensional Input Spaces Using Sparse Polynomial Chaos Expansion: Retrofit of a Large Thermal Power Plant. Applied Sciences, 13(19), 10751. https://doi.org/10.3390/app131910751