Algorithms and models for reservoir operationTitleAuthor / YearThemeCommentReservoir Management and Operations Models: A State-of-the-Art ReviewYeh (1985)ReviewFirst literature review, with emphasis on LP, DP, NLP, and simulationOptimal Operation of Multireservoir Systems: State-of-the-Art ReviewLabadie (2004)ReviewOverview of optimization and simulation modelsA State-of-the-Art Review of Optimal Reservoir Control for Managing Conflicting Demands in a Changing WorldGiuliani et al. (2021)ReviewOverview, with emphasis on problem formulationWater reservoir control under economic, social and environmental constraintsCastelletti et al. (2008)ReviewOverview of algorithms (more technical)Understanding performance measures of reservoirsMcMahon et al. (2006)ReviewOverview of performance measuresReliability, resiliency, and vulnerability criteria for water resource system performance evaluationHashimoto et al. (1982)Technical paperIntroduces three key performance measuresIs robustness really robust? How different definitions of robustness impact decision-making under climate changeGiuliani et al. (2016)Technical paperOn the robustness of performance metricsEvaluation of the parameterization-simulation-optimization approach for the control of reservoir systemsKoutsoyiannis et al. (2005)Technical paperIntroduction to simulation-based optimizationTree-based reinforcement learning for optimal water reservoir operationCastelletti et al. (2010)Technical paperReinforcement learning for reservoir operationsOptimal Real-Time Operation of Multipurpose Urban Reservoirs: Case Study in SingaporeGalelli et al. (2016)Technical paperApplication of deterministic Model Predictive Control (with short-term inflow forecasts)Short-term optimal operation of water systems using ensemble forecastsRaso et al. (2014)Technical paperApplication of stochastic Model Predictive Control (with short-term inflow forecasts)Complex relationship between seasonal streamflow forecast skill and value in reservoir operationsTurner et al. (2017)Technical paperValue of long-term streamflow forecastsRival framings: A framework for discovering how problem formulation uncertainties shape risk management trade-offs in water resources systemsQuinn et al. (2017)Technical paperOn the importance of problem formulation
