Cheng K, Lu Z. Sparse polynomial chaos expansion based on D-MORPH regression. Applied Mathematics and Computation. 2018;323:17–30.
Cheng K, Lu Z. Adaptive sparse polynomial chaos expansions for global sensitivity analysis based on support vector regression. Computers & Structures. 2018;194:86–96.
Praditia T, Helmig R, Hajibeygi H. Multiscale formulation for coupled flow-heat equations arising from single-phase flow in fractured geothermal reservoirs. Computational Geosciences [Internet]. 2018;22(5):1305–22. Available from: https://doi.org/10.1007/s10596-018-9754-4
Haas J, Cebulla F, Nowak W, Rahmann C, Palma R. A multi-service approach for planning the optimal mix of energy storage technologies in a fully renewable power supply. Energy Conversion and Management [Internet]. 2018;178:355–68. Available from: https://www.sciencedirect.com/science/article/pii/S0196890418310987
Bode F, Ferre T, Zigelli N, Emmert M, Nowak W. Reconnecting Stochastic Methods with Hydrogeological Applications: A Utilitarian Uncertainty Analysis and Risk Assessment Approach for the Design of Optimal monitoring Networks. Water Resources Research. 2018;54:2270–97.
Rahmann C, Mayol C, Haas J. Dynamic control strategy in partially-shaded photovoltaic power plants for improving the frequency of the electricity system. Journal of Cleaner Production [Internet]. 2018;202C:109–19. Available from: https://www.sciencedirect.com/science/article/pii/S0959652618322996?via%3Dihub
Mehne J, Nowak W. Predicting the battery core temperature: explanatory power of measurement quantities under different uncertainty scenarios. Journal of Energy Storage. 2018;18:476–84.
Rodriguez-Pretelin A, Nowak W. Integrating transient behavior as a new dimension to WHPA delineation. Advances in Water Resources. 2018;119:178–87.
Höge M, Wöhling T, Nowak W. A Primer for Model Selection: The Decisive Role of
Model Complexity. Water Resources Research. 2018;
Haas J, Palma-Behnke R, Valencia F, Araya P, D’iaz-Ferrán G, Telsnig T, et al. Sunset or sunrise? Understanding the barriers and options for the massive deployment of solar technologies in Chile. Energy Policy [Internet]. 2018;112:399–414. Available from: http://linkinghub.elsevier.com/retrieve/pii/S0301421517306249
Mohammadi F, Kopmann R, Guthke A, Oladyshkin S, Nowak W. Bayesian selection of hydro-morphodynamic models under
computational time constraints. Advances in Water Resources [Internet]. 2018;117:53–64. Available from: http://www.sciencedirect.com/science/article/pii/S0309170817311909
Xiao S, Lu Z, Wang P. Multivariate Global Sensitivity Analysis Based on Distance Components Decomposition. Risk Analysis. 2018;38(12):2703–21.
Gosses M, Nowak W, Wöhling T. Explicit treatment for Dirichlet, Neumann and Cauchy boundary conditions in POD-based reduction of groundwater models. Advances in Water Resources. 2018;115:160–71.
Sun AY, González-Nicolás A, Jeong H, Templeton TC. Metamodeling-based approach for risk assessment and cost estimation: Application to geological carbon sequestration planning. Computers & Geosciences [Internet]. 2018;113(https://doi.org/10.1016/j.cageo.2018.01.006):70–80. Available from: https://www.sciencedirect.com/science/article/pii/S0098300417305393
Oladyshkin S, Nowak W. Incomplete statistical information limits the utility of higher-order polynomial chaos expansions. Reliability Engineering & System Safety. 2018;169:137–48.
Wang P, Lu Z, Xiao S. Variance-based sensitivity analysis with the uncertainties of the input variables and their distribution parameters. Communication in Statistics-Simulation and Computation. 2018;47(4):1103–25.
Wang Y, Xiao S, Lu Z. A new efficient simulation method based on Bayes’ theorem and importance sampling Markov chain simulation to estimate the failure-probability-based global sensitivity. Aerospace Science and Technology. 2018;79:364–72.
Chen Z, G’omez-Hernández JJ, Xu T, Zanini A. Joint identification of contaminant source and aquifer geometry in a sandbox experiment with the restart ensemble Kalman filter. Journal of Hydrology. 2018;564:1074–84.
Wang P, Lu Z, Zhang K, Xiao S, Yue Z. Copula-based decomposition approach for the derivative-based sensitivity of variance contributions with dependent variables. Reliability Engineering & System Safety. 2018;169:437–50.
Darscheid P, Guthke A, Ehret U. A Maximum-Entropy Method to Estimate Discrete Distributions from Samples Ensuring Nonzero Probabilities. Entropy [Internet]. 2018;20(8). Available from: http://www.mdpi.com/1099-4300/20/8/601
Cebulla F, Haas J, Eichman J, Nowak W, Mancarella P. How much Electrical Energy Storage do we need? A synthesis for the U.S., Europe, and Germany. Journal of Cleaner Production [Internet]. 2018;181:449–59. Available from: https://www.sciencedirect.com/science/article/pii/S0959652618301665
Xiao S, Lu Z, Wang P. Global sensitivity analysis based on distance correlation for structural systems with multivariate output. Engineering Structures. 2018;167:74–83.
Xiao S, Lu Z, Wang P. Multivariate global sensitivity analysis for dynamic models based on energy distance. Structural and Multidisciplinary Optimization. 2018;57(1):279–91.
Xiao S, Lu Z. Global sensitivity analysis based on Gini’s mean difference. Structural and Multidisciplinary Optimization. 2018;58(4):1523–35.
Xiao S, Lu Z. Reliability analysis by combining higher-order unscented transformation and fourth-moment method. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering. 2018;4(1):04017034.
Xu T, G’omez-Hernández JJ. Simultaneous identification of a contaminant source and hydraulic conductivity via the restart normal-score ensemble Kalman filter. Advances in Water Resources. 2018;112:106–23.
Gosses M, Nowak W, Wöhling T. Explicit treatment for Dirichlet, Neumann and Cauchy boundary conditions in POD-based reduction of groundwater models. Advances in Water Resources. 2018;