R. J. Abrahart and L. See, ARMA Modelling: constructing benchmark case studies of river flow prediction, Proceedings of the 3rd International Conference on GeoComputation, 1998.

N. Adam, S. Erpicum, P. Archambeau, M. Pirotton, and B. Dewals, Stochastic Modelling of Reservoir Sedimentation in a Semi-Arid Watershed, Water Resources Management, vol.29, issue.3, pp.785-800, 2014.

A. Ahmad, A. El-shafie, S. Razali, and Z. S. Mohamad, Reservoir Optimization in Water Resources: a Review, Water Resources Management, vol.28, issue.11, pp.3391-3405, 2014.

A. Ahmadi-najl, A. Haghighi, V. Samani, and H. M. , Simultaneous optimization of operating rules and rule curves for multireservoir systems using a self-adaptive simulation-GA model, Journal of Water Resources Planning and Management, vol.142, issue.10, p.41, 2016.

I. Ahmadianfar, A. Adib, and M. Taghian, Optimization of multi-reservoir operation with a new hedging rule: application of fuzzy set theory and NSGA-II, Applied Water Science, vol.7, issue.6, pp.3075-3086, 2017.

H. Akbari-alashti, O. B. Haddad, and M. A. Mariño, Application of fixed length gene genetic programming (FLGGP) in hydropower reservoir operation, Water resources management, vol.29, issue.9, pp.3357-3370, 2015.

R. Arunkumar and V. Jothiprakash, Optimal Reservoir Operation for Hydropower Generation using Non-linear Programming Model, Journal of The Institution of Engineers (India): Series A, vol.93, issue.2, pp.111-120, 2012.

H. Bashiri-atrabi, K. Qaderi, D. E. Rheinheimer, and E. Sharifi, Application of Harmony Search Algorithm to Reservoir Operation Optimization, Water Resources Management, vol.29, issue.15, pp.5729-5748, 2015.

B. Becker, T. Schruff, and D. Schwanenberg, Modellierung von reaktiver Steuerung und Model Predictive Control, 37. Dresdner Wasserbaukolloquium, 2014.

A. Ben-tal and A. Nemirovski, Robust optimization: methodology and applications, Mathematical Programming, vol.92, issue.3, pp.453-480, 2002.

A. Ben-tal, E. Ghaoui, L. Nemirovski, A. Bezanson, J. Edelman et al., Robust optimization, Julia: A Fresh Approach to Numerical Computing. SIAM Review, vol.59, issue.1, pp.65-98, 2009.

M. Bieri and A. J. Schleiss, Analysis of flood-reduction capacity of hydropower schemes in an Alpine catchment area by semidistributed conceptual modelling, Journal of Flood Risk Management, vol.6, issue.3, pp.169-185, 2013.

J. R. Birge and F. Louveaux, Introduction to Stochastic Programming, 2011.

E. Camnasio and G. Becciu, Evaluation of the Feasibility of Irrigation Storage in a Flood Detention Pond in an Agricultural Catchment in Northern Italy, Water Resources Management, vol.25, issue.5, pp.1489-1508, 2011.

A. Castelletti, F. Pianosi, and R. Soncini-sessa, Water reservoir control under economic, social and environmental constraints, Automatica, vol.44, issue.6, pp.1595-1607, 2008.

A. B. Celeste and M. Billib, Evaluation of stochastic reservoir operation optimization models, Advances in Water Resources, vol.32, issue.9, pp.1429-1443, 2009.

F. J. Chang, L. Chen, and L. C. Chang, Optimizing the reservoir operating rule curves by genetic algorithms, Hydrological Processes, vol.19, pp.2277-2289, 2005.

P. Chaves and T. Kojiri, Stochastic fuzzy neural network: case study of optimal reservoir operation, Journal of Water Resources Planning and Management, vol.133, issue.6, pp.509-518, 2007.

H. W. Chen and N. B. Chang, Using fuzzy operators to address the complexity in decision making of water resources redistribution in two neighboring river basins, Advances in water resources, vol.33, issue.6, pp.652-666, 2010.

C. Cortes and V. Vapnik, Support-vector networks, Machine Learning, vol.20, issue.3, pp.273-297, 1995.

I. Dunning, J. Huchette, and M. Lubin, JuMP: A Modeling Language for Mathematical Optimization, SIAM Review, vol.59, issue.2, pp.295-320, 2017.

J. Finch and A. Calver, Methods for the quantification of evaporation from lakes, 2008.

F. M. Jordan, J. L. Boillat, and A. J. Schleiss, Optimization of the flood protection effect of a hydropower multi-reservoir system, International journal of river basin management, vol.10, issue.1, pp.65-72, 2012.

D. Klopstra, N. Van-eck, and S. H. Han, Methodiek voor vaststelling van de vorm van de maatgevende afvoergolf van de Maas bij Borgharen. HKV Lijn in Water in opdracht van WL|Delft Hydraulics en Rijkswaterstaat RIZA Kwon WH, 1999.

J. W. Labadie, Optimal Operation of Multireservoir Systems: State-ofthe-Art Review, Journal of Water Resources Planning and Management, vol.130, issue.2, pp.733-9496, 2004.

H. R. Maier, Z. Kapelan, J. Kasprzyk, J. Kollat, L. S. Matott et al., Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions, Environmental Modelling & Software, vol.62, pp.271-299, 2014.

J. W. Nicklow and L. W. Mays, Optimization of multiple reservoir networks for sedimentation control, Journal of hydraulic engineering, vol.126, issue.4, pp.232-242, 2000.

L. Pan, M. Housh, P. Liu, X. Cai, and X. Chen, Robust stochastic optimization for reservoir operation, Water Resources Research, vol.51, issue.1, pp.409-429, 2015.

Y. Peng, A. Peng, X. Zhang, H. Zhou, L. Zhang et al., MultiCore parallel particle swarm optimization for the operation of Inter-Basin water transfer-supply systems, Water Resources Management, vol.31, issue.1, pp.27-41, 2017.

H. Z. Sabzi, D. Humberson, S. Abudu, and J. P. King, Optimization of adaptive fuzzy logic controller using novel combined evolutionary algorithms, and its application in Diez Lagos flood controlling system, Expert Systems with Applications, vol.43, pp.154-164, 2016.

D. Schwanenberg, B. Becker, and M. Xu, The open real-time control (RTC)-Tools software framework for modeling RTC in water resources sytems, Journal of Hydroinformatics, vol.17, issue.1, pp.130-148, 2015.

A. Shapiro and D. Dentcheva, Lectures on stochastic programming: modeling and theory, vol.16, 2014.

L. Spierdijk, Confidence intervals for ARMA-GARCH value-at-risk: The case of heavy tails and skewness, Computational Statistics & Data Analysis, vol.100, pp.545-559, 2016.

M. Spiliotis, L. Mediero, and L. Garrote, Optimization of hedging rules for reservoir operation during droughts based on particle swarm optimization, Water Resources Management, vol.30, issue.15, pp.5759-5778, 2016.

A. Sulis, An optimisation model for reservoir operation, Proceedings of the Institution of Civil Engineers-Water Management, pp.1-9, 2016.

M. Taghian, D. Rosbjerg, A. Haghighi, and H. Madsen, Optimization of Conventional Rule Curves Coupled with Hedging Rules for Reservoir Operation, Journal of Water Resources Planning and Management, vol.140, issue.5, pp.693-698, 2014.

J. Talsma, S. Patzke, B. Becker, N. Goorden, D. Schwanenberg et al., Application of Model Predictive Control on Water Extractions in Scarcity Situations in the Netherlands, Revista de Ingeniería Innova, vol.6, pp.1-10, 2013.

R. J. Vanderbei, Linear Programming, International Series in Operations Research & Management Science, vol.196, 2014.

W. Yeh, Reservoir Management and Operations Models: A State-ofthe-Art Review, Water Resources Research, vol.21, issue.12, pp.1797-1818, 1985.

Y. Zhang, Z. Jiang, C. Ji, and P. Sun, Contrastive analysis of three parallel modes in multi-dimensional dynamic programming and its application in cascade reservoirs operation, Journal of Hydrology, vol.529, pp.22-34, 2015.

T. Zhao, J. Zhao, J. Lund, and D. Yang, Optimal Hedging Rules for Reservoir Flood Operation from Forecast Uncertainties, Journal of Water Resources Planning and Management Preview, 2011.

X. Zhu, C. Zhang, G. Fu, Y. Li, and W. Ding, Bi-Level Optimization for Determining Operating Strategies for Inter-Basin Water Transfer-Supply Reservoirs, Water Resources Management, pp.1-18, 2017.