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Forecasting model of water flows in the affected measured profile
Krepčík, Jiří ; Matoušek, Petr (referee) ; Kozel, Tomáš (advisor)
Stochastic prediction models were compiled for the needs of stochastic control of the storage function of the tank. These models better capture random processes, among which we can include the flow in the specific profile. The work describes the compilation and evaluation of the flow prediction model, which falls into the category of stochastic models. It is a modified zonal model, which is applied to the affected specific profile. The model was calibrated and validated on a test measurement profile. The specific profile contains 85 years of historical measurements. A large amount of data was obtained from the model. The obtained data are evaluated by a programmed program and the conclusion of the work is the evaluation of the success and quality of the model.
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Possibilities of reservoir storage function control
Pruch, David ; BBA, Šárka Zemanová, (referee) ; Kozel, Tomáš (advisor)
Stochastic control of large open water reservior stock fiction with operates a given variance of flow values a certain probability distribution. Stochastic forecasting models for stochastic management were compiled as part of the thesis. The stochastic procedure has the choice of the procedur efor a certain probability scenário as aópposed to the deterministic procedure. The probability election is provided by a fan of options. The thesis deals with the construction and subsequent evalution of stochastic management of the reservoir fiction. Using stochastic models management was performed with some probability of exceeding the controlled watr outflow from the large open water reservior. The simulation took place an a fictional large open water reservior. Subsequently a comparsion was made between management using individual methods and using forecats. Stochastic kontrol performed the large open water reservoir´s stock fiction well. At the end of the diploma thesis the best settings for each forecast and kontrol model were selected.
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Possibilities of reservoir storage function control
Pruch, David ; BBA, Šárka Zemanová, (referee) ; Kozel, Tomáš (advisor)
Stochastic control of large open water reservior stock fiction with operates a given variance of flow values a certain probability distribution. Stochastic forecasting models for stochastic management were compiled as part of the thesis. The stochastic procedure has the choice of the procedur efor a certain probability scenário as aópposed to the deterministic procedure. The probability election is provided by a fan of options. The thesis deals with the construction and subsequent evalution of stochastic management of the reservoir fiction. Using stochastic models management was performed with some probability of exceeding the controlled watr outflow from the large open water reservior. The simulation took place an a fictional large open water reservior. Subsequently a comparsion was made between management using individual methods and using forecats. Stochastic kontrol performed the large open water reservoir´s stock fiction well. At the end of the diploma thesis the best settings for each forecast and kontrol model were selected.
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Forecasting model of water flows in the affected measured profile
Krepčík, Jiří ; Matoušek, Petr (referee) ; Kozel, Tomáš (advisor)
Stochastic prediction models were compiled for the needs of stochastic control of the storage function of the tank. These models better capture random processes, among which we can include the flow in the specific profile. The work describes the compilation and evaluation of the flow prediction model, which falls into the category of stochastic models. It is a modified zonal model, which is applied to the affected specific profile. The model was calibrated and validated on a test measurement profile. The specific profile contains 85 years of historical measurements. A large amount of data was obtained from the model. The obtained data are evaluated by a programmed program and the conclusion of the work is the evaluation of the success and quality of the model.
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