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Journal ArticleDOI

Finding Reservoir Operating Rules

TLDR
In this paper, a deterministic dynamic programming (DDP) is used with operational hydrology to find optimal reservoir operating rules to find that annual operating policy of a single reservoir having an economic loss associated with each draft rate which minimizes the expected loss.
Abstract
Deterministic dynamic programming is used with operational hydrology to find optimal reservoir operating rules. The objective is to find that annual operating policy of a single reservoir having an economic loss associated with each draft rate which minimizes the expected loss.

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Journal ArticleDOI

Optimal Operation of Multireservoir Systems: State-of-the-Art Review

TL;DR: Application of heuristic programming methods using evolutionary and genetic algorithms are described, along with application of neural networks and fuzzy rule-based systems for inferring reservoir system operating rules, to assess the state of the art in optimization of reservoir system management and operations.
Journal ArticleDOI

Dynamic programming applications in water resources

TL;DR: In this paper, the authors present a survey of dynamic programming models for water resource problems and examine computational techniques which have been used to obtain solutions to these problems, including aqueduct design, irrigation system control, project development, water quality maintenance, and reservoir operations analysis.
Journal ArticleDOI

Simulation-optimization modeling: a survey and potential application in reservoir systems operation.

TL;DR: Simulation, optimization and combined simulation–optimization modeling approach are discussed and an overview of their applications reported in literature is provided to help system managers decide appropriate methodology for application to their systems.
Journal ArticleDOI

Application of ANN for Reservoir Inflow Prediction and Operation

TL;DR: In this paper, an autoregressive integrated moving average time-series model and an ANN-based model were fitted to the monthly inflow data series and their performances were compared.
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