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Efficient use of renewable energy sources in a residential building
Burčo, Matúš ; Paluřík, Pavel (referee) ; Jablončík, Lukáš (advisor)
The thesis focuses on the design and implementation of an optimization algorithm for an energy management system in apartment buildings. The thesis analyzes current technological solutions for smart home energy management, including open-source and commercial systems. It further considers the use of containerization technologies for the implementation of the algorithm in practice. The second chapter focuses on renewable energy sources such as solar, wind and hydro power and discusses methods for their efficient integration into energy systems. The third chapter describes specific system elements, such as photovoltaic panels and battery storage, in the context of a residential building. The fourth chapter describes the development of the optimization algorithm, its testing and integration with data collection and visualization platforms. The aim of the thesis is to show how the system can be used to make efficient use of the available energy resources and thus reduce the energy costs of the building.
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Analysis of Bitcoin Virtual Currency and Prediction Model
Okruhľanský, Lukáš ; Koch, Miloš (referee) ; Budík, Jan (advisor)
The subject of my bachelor's thesis is the analysis of Bitcoin virtual currency. Teoretical part of my thesis is about how bitcoin essentialy works, how it is technicaly implemented, safety issues, legal point of view. Applied part is dedicated to teoretical explanation of technical, fundamental and pychological analysis. In applied part I also analyse exchange prices of bitcoin from its creation until present day by using technical, fundamental and pychological analysis. Last part of my bachelor's thesis is making a prediction model based on fundamental and technical analysis.
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Proposal of prediction model sales of selected food commodities
Řešetková, Dagmar ; Dostál, Petr (referee) ; Krčmarský, Miroslav (referee) ; Zelinka, Ivan (referee) ; Rais, Karel (advisor)
The dissertation is generally focused on the use of artificial intelligence tools in practice and with regard to the focus of study in the field of Management and Business Economics at using the tools of artificial intelligence in corporate practice, as a tool for decision support at the operational and tactical level management. In the narrower sense, the task deals with the proposal of the prediction sales model of selected food commodities. The proposed model is designed to serve as a substitute for a human expert in support decision-making process in the purchase of selected commodities, especially when training new staff and extend the currently used methods of managerial decision-making about artificial intelligence tools for company management and existing employees. The aim of this dissertation is the design prediction sales model of selected food commodities (apples and potatoes) for specific wholesale of fruit and vegetable operating in the Czech Republic. To become familiar with the behaviour of selected commodities were used primary and secondary research as well and knowledge gained from Czech and foreign literature sources and research. The resulting predictive model is developed using statistical analysis of time series and the sales prediction proceeds using the tools of artificial intelligence and is modeled by an artificial neural network. The dissertation in the practical part also contains proposals for the use of the prediction model and partial processing procedures for: • practice, • theory, • pedagogical activities.
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The Business Plan of the Establishment New Restaurant
Škarda, Jakub ; Smolík, Kamil (referee) ; Luňáček, Jiří (advisor)
The diploma thesis is focused on creating a business plan for establishment a new restaurant that will dedicate itself to serve slovakian, hungarian and czech cuisine. Part of the thesis is to put together sales and costs prediction model in a pertinent subbranch. It also contains internal and external environment analysis, financial and business continuity plan.
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Prediction of Raining from Meteoradar
Vlček, Michael ; Pešán, Jan (referee) ; Szőke, Igor (advisor)
This thesis deals with rain prediction using information from meteoradar images and some other relevant factors through the computational model of a neural network. It focuses on exploring different prediction possibilities using this model and defining the most successful model configuration to fulfill the chosen task.
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Analysis of Bitcoin Virtual Currency and Prediction Model
Okruhľanský, Lukáš ; Koch, Miloš (referee) ; Budík, Jan (advisor)
The subject of my bachelor's thesis is the analysis of Bitcoin virtual currency. Teoretical part of my thesis is about how bitcoin essentialy works, how it is technicaly implemented, safety issues, legal point of view. Applied part is dedicated to teoretical explanation of technical, fundamental and pychological analysis. In applied part I also analyse exchange prices of bitcoin from its creation until present day by using technical, fundamental and pychological analysis. Last part of my bachelor's thesis is making a prediction model based on fundamental and technical analysis.
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Prediction of Raining from Meteoradar
Vlček, Michael ; Pešán, Jan (referee) ; Szőke, Igor (advisor)
This thesis deals with rain prediction using information from meteoradar images and some other relevant factors through the computational model of a neural network. It focuses on exploring different prediction possibilities using this model and defining the most successful model configuration to fulfill the chosen task.
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Proposal of prediction model sales of selected food commodities
Řešetková, Dagmar ; Dostál, Petr (referee) ; Krčmarský, Miroslav (referee) ; Zelinka, Ivan (referee) ; Rais, Karel (advisor)
The dissertation is generally focused on the use of artificial intelligence tools in practice and with regard to the focus of study in the field of Management and Business Economics at using the tools of artificial intelligence in corporate practice, as a tool for decision support at the operational and tactical level management. In the narrower sense, the task deals with the proposal of the prediction sales model of selected food commodities. The proposed model is designed to serve as a substitute for a human expert in support decision-making process in the purchase of selected commodities, especially when training new staff and extend the currently used methods of managerial decision-making about artificial intelligence tools for company management and existing employees. The aim of this dissertation is the design prediction sales model of selected food commodities (apples and potatoes) for specific wholesale of fruit and vegetable operating in the Czech Republic. To become familiar with the behaviour of selected commodities were used primary and secondary research as well and knowledge gained from Czech and foreign literature sources and research. The resulting predictive model is developed using statistical analysis of time series and the sales prediction proceeds using the tools of artificial intelligence and is modeled by an artificial neural network. The dissertation in the practical part also contains proposals for the use of the prediction model and partial processing procedures for: • practice, • theory, • pedagogical activities.
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