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    Efficient Implementation of Sampling Stochastic Dynamic Programming Algorithm for Multireservoir Management in the Hydropower Sector 

    Source: Journal of Water Resources Planning and Management:;2019:;Volume ( 145 ):;issue: 004
    Author(s): Pascal Côté; Richard Arsenault
    Publisher: American Society of Civil Engineers
    Abstract: Despite decades of operational use, stochastic dynamic programming (SDP) is still a popular method for solving hydropower management optimization problems. From an operational perspective, there are many advantages to using ...
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    Optimal Hydrological Model Calibration Strategy for Climate Change Impact Studies 

    Source: Journal of Hydrologic Engineering:;2021:;Volume ( 027 ):;issue: 003:;page 04021053
    Author(s): Samuel Bérubé; François Brissette; Richard Arsenault
    Publisher: ASCE
    Abstract: To assess the impacts of climate change on water resources, hydrological models are the most commonly used to simulate future flows. Hydrological model calibration is typically based on historical hydrometeorological data, ...
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    Improving Hydrological Model Simulations with Combined Multi-Input and Multimodel Averaging Frameworks 

    Source: Journal of Hydrologic Engineering:;2017:;Volume ( 022 ):;issue: 004
    Author(s): Richard Arsenault; Gilles R. C. Essou; François P. Brissette
    Publisher: American Society of Civil Engineers
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    Comparison of Stochastic Optimization Algorithms in Hydrological Model Calibration 

    Source: Journal of Hydrologic Engineering:;2014:;Volume ( 019 ):;issue: 007
    Author(s): Richard Arsenault; Annie Poulin; Pascal Côté; François Brissette
    Publisher: American Society of Civil Engineers
    Abstract: Ten stochastic optimization methods—adaptive simulated annealing (ASA), covariance matrix adaptation evolution strategy (CMAES), cuckoo search (CS), dynamically dimensioned search (DDS), differential evolution (DE), genetic ...
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