|
|
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.
|
|
|
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.
|
|
|
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.
|
|
|
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.
|
guest ::
