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Operational Evaluation of the Small Photovoltaic Power Plants Connected to the LV network
Černý, Jaroslav ; Mastný, Petr (referee) ; Orságová, Jaroslava (advisor)
The objective of this thesis is to perform practical measurements of two small photovoltaic power plants, compare the received results with a theoretical calculation, and evaluate how the two differ from each other. Measured data are divided into three groups. The first group evaluates an overall electric power production in the individual months and compares it with the theoretical presumption that is instrumental to a return of investment calculation. The second group shows us a development of electric power production during characteristic days. We can compare how an ideal day from the FVE production point of view looks like, in other words a sunny and clear-sky day, with the opposite case when it is cloudy and raining all day long. Another extreme is a rapid growth or a performance drop, which can happen in a pho-tovoltaic power plant and a time period when this situation can arise. The third group contains statistic data from the electric power production. They are processed in the form of histograms and polygons of production that graphically illustrate production decomposition into the individual months. These data can be instrumental to a decision making about the form of purchase, whether it is economical for us to use the so called green bonus or not.
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Operational Evaluation of the Small Photovoltaic Power Plants Connected to the LV network
Černý, Jaroslav ; Mastný, Petr (referee) ; Orságová, Jaroslava (advisor)
The objective of this thesis is to perform practical measurements of two small photovoltaic power plants, compare the received results with a theoretical calculation, and evaluate how the two differ from each other. Measured data are divided into three groups. The first group evaluates an overall electric power production in the individual months and compares it with the theoretical presumption that is instrumental to a return of investment calculation. The second group shows us a development of electric power production during characteristic days. We can compare how an ideal day from the FVE production point of view looks like, in other words a sunny and clear-sky day, with the opposite case when it is cloudy and raining all day long. Another extreme is a rapid growth or a performance drop, which can happen in a pho-tovoltaic power plant and a time period when this situation can arise. The third group contains statistic data from the electric power production. They are processed in the form of histograms and polygons of production that graphically illustrate production decomposition into the individual months. These data can be instrumental to a decision making about the form of purchase, whether it is economical for us to use the so called green bonus or not.
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Statistical inference for categorical data analysis
Kocáb, Jan ; Pecáková, Iva (advisor) ; Coufalová, Petra (referee)
This thesis introduces statistical methods for categorical data. These methods are especially used in social sciences such as sociology, psychology and political science, but their importance has increased also in medical and technical sciences. In the first part there is mentioned statistical inference for a proportion. Here is written about classical, exact and Bayesian methods for estimating and hypothesis testing. If we have a large sample then we can approximate exact distribution by normal distribution but if we have a small sample cannot use this approximation and it is necessary to use discrete distribution which makes inference more complicated. The second part deals with two categorical variables analysis in contingency tables. Here are explained measures of association for 2 x 2 contingency tables such as difference of proportion and odds ratio and also presented how we can test independence in the case of large sample and small one. If we have small sample we are not allowed to use classical chi-squared tests and it is necessary to use alternative methods. This part contains variety of exact tests of independence and Bayesian approach for the 2 x 2 table too. In the end of this part there is written about a table for two dependent samples and we are interested whether two variables give identical results which occurs when marginal proportions are equal. In the last part there are methods used on data and discussed results.
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