Bootstrap aggregation and cross‐validation methods to reduce overfitting in reservoir control policy search

[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 .