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Forecasting model for water measured profile
Šenková, Lucie ; Osičková, Kamila (referee) ; Kozel, Tomáš (advisor)
The subject of this bachelor thesis is construction of forecasting model for water measured profile. Water measured profile is situated in Bílovice nad Svitavou. The model is based on Markovov chains methodology. The thesis is divided into two parts theoretical and practical part. The theoretical part describes differences between stochastic and deterministic models as well as process of construction forecasting model. The practical part describes application of the model. The conclusion of the practical part is description and evaluation of the results.
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Control of storage function of the reservoir
Hon, Matěj ; Matoušek, Petr (referee) ; Kozel, Tomáš (advisor)
Dispatcher graphs state the amount of discharged water according to the current status of a water tank. The thesis describes the technique of creating a zonal dispatcher graph and its simulation on a large open water reservoir Vranov. Using predictions, the model was tested to know how it works with the ability to determine incoming tributaries. The dispatcher graph method is commonly rated among deterministic control methods. These methods are advantageous in one specific output and that is a control variable. Other possible ways are stochastic methods that work with probability and give us the control over the choice of a procedure. Both types of methods are further described in the work. For the suitable prediction of flows, the use of a neural network operating on the principle of reverse propagation was chosen.
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Use of artificial intelligence methods for flow prediction in specific profile
Škarecký, Pavel ; BBA, Šárka Zemanová, (referee) ; Kozel, Tomáš (advisor)
The subject of this diploma thesis was the construction and calibration of a forecast model for water flow in the specific profile on the river Dyje in the village Podhradí nad Dyjí. The description of the theoretical part describes various prediction models and description of the prediction model using the technique of random walking and a description of neural networks. The practical part was then devoted to the description of the locality of interest, the creation of a prediction model and the use of neural networks as post processing to improve the results.
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Control of the reservoir storage function using artificial intelligence methods
Hon, Matěj ; BBA, Šárka Zemanová, (referee) ; Kozel, Tomáš (advisor)
The diploma thesis deals with flow prediction using artificial intelligence to control the storage function of the reservoir. It focuses on the control of storage function using combination of dispatching graphs and flow prediction. The work is divided into a methodological part and an application part. The methodological part contain describes how the acquisition of historical data, a description of the work of dispatching graphs and forecasting models. The application part contains flow forecasts and outflow control. A prediction model is based on the fuzzy method, and it is used to predict inflows. The calibration and validation of the prediction model is also described. Results of prediction model were evaluated. In next step the results of control method were evaluated and compared with result of dispatching graphs. The results of controlled method were satisfactory.
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Touristic cottage Gruň
Kozel, Tomáš ; Šteffek, Libor (referee) ; Ostrý, Milan (advisor)
The aim of the diploma thesis was to design a tourist chalet in Beskydy mountain. The building is solved as a masonry building. Tourist chalet has gabled roof with dormer on south and north side. When designing the object the accent of its funcionality was emhasized and the proposition of the energetically economic object. I designed by heat pump, the boiler and storage on pellets,
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Stochastic management storage function of water reservoir using method of artificial intelligence
Kozel, Tomáš ; Fošumpaur, Pavel (referee) ; Zezulák,, Jiří (referee) ; Starý, Miloš (advisor)
The main advantage of stochastic forecasting is fan of possible value, which deterministic method of forecasting could not give us. Future development of random process is described better by stochastic then deterministic forecasting. We can categorize discharge in measurement profile as random process. Stochastic management is worked with dispersion of controlling discharge value. In thesis is described construction and evaluation of adaptive stochastic model base on fuzzy logic, neural networks and evolution algorithm, which are used stochastic forecast from forecasting models described in thesis. The learning fuzzy model and neural network is used as replacement of classic optimization algorithm (evolution algorithm). Model was tested and validated on made up large open water reservoir. Results were evaluated and were compared with model base on traditional algorithms, which was used for 100% forecast (forecasted values are real values). The management of the large open water reservoir with storage function, which was given by stochastic adaptive managing, was logical. The main advantage of fuzzy model and neural network model is computing speed. Classical optimization model is needed much more time for same calculation as fuzzy and neural network model, therefore classic model used clusters for stochastic calculation.
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Forecasting model for forecast of flows in measured profile
Urbanec, Patrik ; Matoušek, Petr (referee) ; Kozel, Tomáš (advisor)
The subject of this bachelor thesis was the compilation and calibration of the prediction model of water flow in the specific profile of Bílovice nad Svitou on the Svitavy River and its evaluation. The thesis is divided into the calculation part and the theoretical part. In the calculation part is described a model based on neural networks and its calibration. Furthermore, the evaluation of predictions using histograms, averages and median frequencies for each month is described in the paper. The theoretical part describes neural networks, methodology and evaluation of results from the calculation part. Finally, we compare each neural network setting. Based on the results obtained, the predictive model can be recommended for further investigation.
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Evaluation of Flood Waves in the Velička River Basin
Barvík, Jan ; Kozel, Tomáš (referee) ; Starý, Miloš (advisor)
The bachelor thesis says about basic characteristics of the river Velička. It describes the climate and geographic factors affecting the rainfall- runoff process of the landscape, brings a description of the water works and other man-made constructions, including land use. The bachelor thesis chronologically describes the flooding on the Velička river. It also presents hydrological observations based on historical observations of water conditions and flow rates in recent years. The selected extreme floods are analyzed (including characteristics of synoptic meteorological causes of the situation, the progress of the flood waves etc.).
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Management of water reservoir storage function using methods of artificial intelligence
Urbanec, Patrik ; Matoušek, Petr (referee) ; Kozel, Tomáš (advisor)
The subject of this thesis is to control the storage function of the reservoir using artificial intelligence methods, including the construction of the appropriate control algorithm. The thesis is divided into the theoretical part and the part of the application of reservoir storage function control. The theoretical part describes the control algorithm and the prediction model. The following are basic optimization methods and artificial intelligence methods. The second part presents the historical data used for the prediction model. The following is a description of calibration and validation of the control module and evaluation of the application results. Finally, there is a comparison and summary of individual results, control algorithm and prediction model. According to the results, the control algorithm can be recommended for further investigation.
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Hydromorphological monitoring and partial restoration of Leskava stream
Čihák, Pavel ; Kozel, Tomáš (referee) ; Hyánková, Eva (advisor)
This work is focused on hydroecological monitoring of a selected watercourse in connection with the requirements of the Water Framework Directive. The methodology of type-specific evaluation of hydromorphological indicators of ecological quality approved by the Ministry of the Environment has been used. The result of this work is the implementation of the mapping of a particular watercourse and the subsequent possibility of improving its hydromorphological condition with revitalization measures.
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