Journal ArticleDOI
Reservoir Operating Rules with Fuzzy Programming
TLDR
The conclusion is that the fuzzy logic approach is promising, but it suffers from the “curse of dimensionality” and can be a useful supplement to existing operating practices.Abstract:
Relatively little of the research on reservoir operating procedures has found its way into actual practice. One reason is that operators are uncomfortable with complex optimization models and reluctant to use procedures that they do not fully understand. Fuzzy logic seems to offer a way to improve on existing operating practices, which is relatively easy to explain and understand. The main concepts in fuzzy logic and a procedure for applying them are explained. These are applied to finding operating procedures for a single-purpose hydroelectric project, where both the inflows and the selling price for energy can vary. Operation of the system is simulated using both fuzzy logic programming and fixed rules. The results are compared with those obtained by deterministic dynamic programming with hindsight. The use of fuzzy logic with flow forecasts is also investigated. The conclusion is that the fuzzy logic approach is promising, but it suffers from the “curse of dimensionality.” It can be a useful supplement...read more
Citations
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Journal ArticleDOI
Adaptive neuro-fuzzy inference system for prediction of water level in reservoir
Fi-John Chang,Ya-Ting Chang +1 more
TL;DR: It is demonstrated that the ANFIS can be applied successfully and provide high accuracy and reliability for reservoir water level forecasting in the next three hours and the model with human decision as input variable has consistently superior performance with regard to all used indexes than the model without this input.
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
Comparison of Several Flood Forecasting Models in Yangtze River
TL;DR: Two hybrid models based on recent artificial intelligence technology, namely, the genetic algorithm-based artificial neural network (ANN-GA) and the adaptive-network-based fuzzy inference system (ANFIS), are employed for flood forecasting in a channel reach of the Yangtze River in China.
Journal ArticleDOI
An interval-parameter fuzzy two-stage stochastic program for water resources management under uncertainty
TL;DR: This study presents an interval-parameter fuzzy two-stage stochastic programming (IFTSP) method for the planning of water-resources-management systems under uncertainty and demonstrates how the method efficiently produces stable solutions together with different risk levels of violating pre-established allocation criteria.
Journal ArticleDOI
System dynamics modeling of reservoir operations for flood management
TL;DR: In this paper, a feedback-based object-oriented simulation approach for modeling reservoir operations is presented, which is applied to the Shellmouth reservoir on the Assiniboine River in Canada.
References
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Book
Fuzzy sets
TL;DR: A separation theorem for convex fuzzy sets is proved without requiring that the fuzzy sets be disjoint.
Book
Fuzzy Sets, Uncertainty and Information
George J. Klir,Tina A. Folger +1 more
TL;DR: The fuzzy sets uncertainty and information is one book that the authors really recommend you to read, to get more solutions in solving this problem.
Journal ArticleDOI
Reservoir Management and Operations Models: A State‐of‐the‐Art Review
TL;DR: The objective of this paper is to review the state-of-the-art of mathematical models developed for reservoir operations, including simulation, which include linear programming, dynamic programming, nonliner programming, and simulation.
Book
Fuzzy Thinking: The New Science of Fuzzy Logic
TL;DR: Fuzzy logic prescribes a new way of thinking about machines, about science, ambiguity, confusion and contradiction, and it sanctifies vagueness.