Bootstrap aggregation and cross‐validation methods to reduce overfitting in reservoir control policy search
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[1] Matteo Giuliani,et al. Policy tree optimization for threshold-based water resources management over multiple timescales , 2018, Environ. Model. Softw..
[2] Andrea Castelletti,et al. Many‐objective reservoir policy identification and refinement to reduce policy inertia and myopia in water management , 2014 .
[3] G. Tutz,et al. An introduction to recursive partitioning: rationale, application, and characteristics of classification and regression trees, bagging, and random forests. , 2009, Psychological methods.
[4] Andrea Castelletti,et al. Scalable Multiobjective Control for Large-Scale Water Resources Systems Under Uncertainty , 2018, IEEE Transactions on Control Systems Technology.
[5] J. Herman,et al. Balancing Flood Risk and Water Supply in California: Policy Search Integrating Short‐Term Forecast Ensembles With Conjunctive Use , 2018, Water Resources Research.
[6] Andrea Castelletti,et al. Balancing exploration, uncertainty and computational demands in many objective reservoir optimization , 2017 .
[7] Ramesh S. V. Teegavarapu,et al. Statistical Analysis of Hydrologic Variables , 2019 .
[8] Upmanu Lall,et al. A Nearest Neighbor Bootstrap For Resampling Hydrologic Time Series , 1996 .
[9] Casey Brown,et al. A semiparametric multivariate, multisite weather generator with low‐frequency variability for use in climate risk assessments , 2013 .
[10] Matteo Giuliani,et al. Climate Adaptation as a Control Problem: Review and Perspectives on Dynamic Water Resources Planning Under Uncertainty , 2020, Water Resources Research.
[11] Avi Ostfeld,et al. State of the Art for Genetic Algorithms and Beyond in Water Resources Planning and Management , 2010 .
[12] T. Pohlert. The Pairwise Multiple Comparison of Mean Ranks Package (PMCMR) , 2016 .
[13] Joseph R. Kasprzyk,et al. Evolutionary multiobjective optimization in water resources: The past, present, and future , 2012 .
[14] Janez Demsar,et al. Statistical Comparisons of Classifiers over Multiple Data Sets , 2006, J. Mach. Learn. Res..
[15] Andrea Castelletti,et al. A diagnostic assessment of evolutionary algorithms for multi-objective surface water reservoir control , 2016 .
[16] Andrea Castelletti,et al. Rival framings: A framework for discovering how problem formulation uncertainties shape risk management trade‐offs in water resources systems , 2017 .
[17] Demetris Koutsoyiannis,et al. Evaluation of the parameterization‐simulation‐optimization approach for the control of reservoir systems , 2003 .
[18] J. D. Quinn,et al. What Is Controlling Our Control Rules? Opening the Black Box of Multireservoir Operating Policies Using Time‐Varying Sensitivity Analysis , 2019, Water Resources Research.
[19] Avi Ostfeld,et al. Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions , 2014, Environ. Model. Softw..
[20] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[21] V. Chandramouli,et al. Deriving a General Operating Policy for Reservoirs Using Neural Network , 1996 .