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    Integrated Design of Dam Size and Operations via Reinforcement Learning 

    Source: Journal of Water Resources Planning and Management:;2020:;Volume ( 146 ):;issue: 004
    Author(s): Federica Bertoni; Matteo Giuliani; Andrea Castelletti
    Publisher: ASCE
    Abstract: In the water systems analysis literature and practice, planning (i.e., dam sizing) and management (i.e., operation design) have been for long time addressed as two weakly interconnected problems, and this often ...
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    Valuing the Codesign of Streamflow Forecast and Reservoir Operation Models 

    Source: Journal of Water Resources Planning and Management:;2023:;Volume ( 149 ):;issue: 008:;page 04023037-1
    Author(s): Guang Yang; Matteo Giuliani; Stefano Galelli
    Publisher: ASCE
    Abstract: Seasonal streamflow forecasts are becoming widely used to improve water reservoir operations, especially in areas where climate teleconnections enable predictability on medium and long lead times. Most existing studies ...
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    Multiagent Systems and Distributed Constraint Reasoning for Regulatory Mechanism Design in Water Management 

    Source: Journal of Water Resources Planning and Management:;2015:;Volume ( 141 ):;issue: 004
    Author(s): Matteo Giuliani; Andrea Castelletti; Francesco Amigoni; Ximing Cai
    Publisher: American Society of Civil Engineers
    Abstract: Many water resources systems include multiple, independent, and distributed decision makers representing different and conflicting interests. In much of the water resources literature, the operation of these systems is ...
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    Curses, Tradeoffs, and Scalable Management: Advancing Evolutionary Multiobjective Direct Policy Search to Improve Water Reservoir Operations 

    Source: Journal of Water Resources Planning and Management:;2016:;Volume ( 142 ):;issue: 002
    Author(s): Matteo Giuliani; Andrea Castelletti; Francesca Pianosi; Emanuele Mason; Patrick M. Reed
    Publisher: American Society of Civil Engineers
    Abstract: Optimal management policies for water reservoir operation are generally designed via stochastic dynamic programming (SDP). Yet, the adoption of SDP in complex real-world problems is challenged by the three curses of ...
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    Curses, Tradeoffs, and Scalable Management: Advancing Evolutionary Multiobjective Direct Policy Search to Improve Water Reservoir Operations 

    Source: Journal of Water Resources Planning and Management:;2016:;Volume ( 142 ):;issue: 002
    Author(s): Matteo, Giuliani; Andrea, Castelletti; Francesca Pianosi; Emanuele Mason; Patrick M. Reed
    Publisher: American Society of Civil Engineers
    Abstract: Optimal management policies for water reservoir operation are generally designed via stochastic dynamic programming (SDP). Yet, the adoption of SDP in complex real-world problems is challenged by the three curses of ...
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    Planning the Optimal Operation of a Multioutlet Water Reservoir with Water Quality and Quantity Targets 

    Source: Journal of Water Resources Planning and Management:;2014:;Volume ( 140 ):;issue: 004
    Author(s): Andrea Castelletti; Hiroshi Yajima; Matteo Giuliani; Rodolfo Soncini-Sessa; Enrico Weber
    Publisher: American Society of Civil Engineers
    Abstract: The integration of quality and quantity issues in the management of water resources systems is key to meet society’s long-term needs for freshwater while maintaining essential ecological services and economic benefits. ...
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