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The Analysis of Factors Affecting Electricity Consumption
Seiml, Jan ; Mařica, Lukáš (referee) ; Toman, Petr (advisor)
The aim of this thesis is to describe the course of consumption of electricity. One of the feasible ways of description is statistical analysis, which enables to calculate statistically significant factors and their combinations that contributed to the course of consumption of electricity. These factors may be used for modulation of future electricity consumption, and therefore also for long-time prediction. The second chapter discusses the expansion of electricity usage in the Czech Republic from the turn of the 19th century until nowadays. The chapter describes the development of transmission system, development of electricity consumption in the sectors of the national economy, possibilities of using electric energy, and overall balance of electricity and sources of energy. The third chapter presents an overview of usage and consumption of electrical energy in the neighboring European countries as well as in the most interesting countries of the World. The fourth chapter contains statistical analysis. The first part of the chapter details a list of the analyzed quantities of individual consumptions, of the investigated factors, and the analyzed countries. Further, the chapter explains the method of statistical analysis via using simple and multiple regression and its subsequent application and evaluation for the Czech Republic and the others European countries. According to the result, it is GDP that has the main impact on the trends in the course of consumption of electricity. However, it is necessary to consider other factors influencing the consumption of electricity, too, and not rely solely on GDP in terms of long-time prediction of electricity consumption. The fifth chapter discusses the reduction of electricity consumption and savings, which can be both political and macroeconomic result. Quantification of savings is not always unequivocal and any cost-saving actions can lead to an increase in electricity consumption, which can, in effect, be bigger than any possible savings.
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Data Mining Module of a Data Mining System on NetBeans Platform
Výtvar, Jaromír ; Křivka, Zbyněk (referee) ; Zendulka, Jaroslav (advisor)
The aim of this work is to get basic overview about the process of obtaining knowledge from databases - datamining and to analyze the datamining system developed at FIT BUT on the NetBeans platform in order to create a new mining module. We decided to implement a module for mining outliers and to extend existing regression module with multiple linear regression using generalized linear models. New methods using existing methods of Oracle Data Mining.
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Wage rigidities in chosen EU countries
Janus, Ondřej
The objective of this thesis is to estimate the real wage rigidities in chosen EU countries and their influence on long term unemployment. Two main approaches used in this thesis are multiple regression analysis applied on Phillips curve and Structural VAR. The results show the development of wage flexibility before and after the crisis, heterogeneity of wage flexibility across the chosen EU countries and positive correlation between wage flexibility and low long-term unemploy-ment rate.
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The Friends and Neighbours Effect and Its Relevance to Voting Behaviour in Czech Parliamentary Elections
Pileček, Radek
Voter decision-making about which political party to support in the elections is a very complex process. One of the key factors influencing our voting behaviour is the effect of particular candidates in terms of their local activities. Many Czech and also foreign studies show that candidates gain significantly higher preferences in the municipality of their residence and its surroundings. Within the analyzed parliamentary elections, this is reflected not only by the territorial concentration of preferential votes, but also by higher local electoral support of the political parties or movements represented by these candidates. This diploma thesis examines, among other things, differences in the strength of the described effect (technically called the friends and neighbours effect) between candidates from different political parties and in different regions of Czechia. Quantitative research has shown greater local strength and spatial extent of friends and neighbours effect for leading candidates from non-metropolitan areas who have experiences from local or regional politics, such as mayors or regional councilors. In the 2017 parliamentary elections, the friends and neighbours effect mostly influenced the spatial patterns of electoral support of the KDU-ČSL and the STAN movement and on the other...
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Prediction of mean hourly values of surface ozone concentrations from passive sampler measurements
Sinkulová, Michaela ; Hůnová, Iva (advisor) ; Zíková, Naděžda (referee)
In terms of air pollution, ground-level ozone is according to current knowledge, contributes the most to damage to ecosystems. To calculate the key indicators of potential damage to ecosystems, such as the exposure index AOT40 and stomatal flux, it is important to know the hourly ozone concentrations, which are the input data for both calculations. For the measurement of O3 air pollution concentrations for the purposes of environmental studies, continuous measurement is not used, but measurement by passive (diffusion) dosimeters, which are exposed for a longer period (usually 1 week-1 month) and thus indicate the average concentration for the relevant longer period. The aim of this diploma thesis is the prediction of hourly concentrations of ground-level ozone from measurements by diffusive samplers, which took place in the period 2006-2010 in Jizerské hory mountains. Monitoring always took place for 2 weeks during the vegetation seasons (April-October) at localities and at various altitudes (714 m above sea level - 1,000 m above sea level). Ogawa diffusive samplers were used. From these average and meteorological concentrations, hourly values of ground-level ozone concentrations were calculated according to the model from professional study and these were compared with measurements from an...
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The Friends and Neighbours Effect and Its Relevance to Voting Behaviour in Czech Parliamentary Elections
Pileček, Radek ; Kostelecký, Tomáš (advisor) ; Daněk, Petr (referee)
Voter decision-making about which political party to support in the elections is a very complex process. One of the key factors influencing our voting behaviour is the effect of particular candidates in terms of their local activities. Many Czech and also foreign studies show that candidates gain significantly higher preferences in the municipality of their residence and its surroundings. Within the analyzed parliamentary elections, this is reflected not only by the territorial concentration of preferential votes, but also by higher local electoral support of the political parties or movements represented by these candidates. This diploma thesis examines, among other things, differences in the strength of the described effect (technically called the friends and neighbours effect) between candidates from different political parties and in different regions of Czechia. Quantitative research has shown greater local strength and spatial extent of friends and neighbours effect for leading candidates from non-metropolitan areas who have experiences from local or regional politics, such as mayors or regional councilors. In the 2017 parliamentary elections, the friends and neighbours effect mostly influenced the spatial patterns of electoral support of the KDU-ČSL and the STAN movement and on the other...
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Role intenzifikačních faktorů při rozvoji zemědělství v Nikaragui, Keni a Myanmaru
Kubát, Patrik
This bachelor aimed to identify the dependency of gross agricultural production in selected intensification factors. To achieve the objective has been selected multiple regression analysis. Intensification factors were: fertilizers, insecticides, herbicides, capital, agricultural tractors, livestock and energy use in agriculture. The analysis was performed in three countries: Myanmar, Kenya and Nicaragua. These countries belong to the lower-middle income group according to the categorization of the World Bank and they are also located in the same climate. They vary with geographic location and the share of agriculture in GDP. The same climatic belt, however, a different continent, and the same categorization of income group but various share of agriculture in GDP could lead to the use of different intensification factors that are involved in the agricultural production.
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Analysis of weather effect on TV audience
Leová, Monika ; Arltová, Markéta (advisor) ; Hanzák, Tomáš (referee)
Diploma thesis analyzes the influence of weather on TV audience in the Czech Republic in 2012 to 2016 by using data of the Association of Television Organizations and meteorological data of the Czech Hydrometeorological Institute. The first part of the thesis deals with the phenomenon of TV ratings, discusses its importance for contemporary society and puts it in the frame of other leisure activities. Additionally, it introduces the current Czech TV market, electronic measurement of TV ratings, its main institutions and complementary research. The empirical part of the diploma thesis focuses on realization of the statistical analysis. Weather components (temperature, rain falls and cloudiness) that affect TV viewing have been identified by using a suitable regression model and their weight in the aggregate meteo factor have been determined. The final model, in addition to weather elements, takes into account calendar effects (day of the week, holidays, season) as well as interaction between weather and calendar effects. The model was applied to total TV audience as well as to selected groups of TV channels, to individual age categories, whole day, prime time and off time and also separately to so called guests TV audience.
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The Analysis of Factors Affecting Electricity Consumption
Seiml, Jan ; Mařica, Lukáš (referee) ; Toman, Petr (advisor)
The aim of this thesis is to describe the course of consumption of electricity. One of the feasible ways of description is statistical analysis, which enables to calculate statistically significant factors and their combinations that contributed to the course of consumption of electricity. These factors may be used for modulation of future electricity consumption, and therefore also for long-time prediction. The second chapter discusses the expansion of electricity usage in the Czech Republic from the turn of the 19th century until nowadays. The chapter describes the development of transmission system, development of electricity consumption in the sectors of the national economy, possibilities of using electric energy, and overall balance of electricity and sources of energy. The third chapter presents an overview of usage and consumption of electrical energy in the neighboring European countries as well as in the most interesting countries of the World. The fourth chapter contains statistical analysis. The first part of the chapter details a list of the analyzed quantities of individual consumptions, of the investigated factors, and the analyzed countries. Further, the chapter explains the method of statistical analysis via using simple and multiple regression and its subsequent application and evaluation for the Czech Republic and the others European countries. According to the result, it is GDP that has the main impact on the trends in the course of consumption of electricity. However, it is necessary to consider other factors influencing the consumption of electricity, too, and not rely solely on GDP in terms of long-time prediction of electricity consumption. The fifth chapter discusses the reduction of electricity consumption and savings, which can be both political and macroeconomic result. Quantification of savings is not always unequivocal and any cost-saving actions can lead to an increase in electricity consumption, which can, in effect, be bigger than any possible savings.
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Data Mining Module of a Data Mining System on NetBeans Platform
Výtvar, Jaromír ; Křivka, Zbyněk (referee) ; Zendulka, Jaroslav (advisor)
The aim of this work is to get basic overview about the process of obtaining knowledge from databases - datamining and to analyze the datamining system developed at FIT BUT on the NetBeans platform in order to create a new mining module. We decided to implement a module for mining outliers and to extend existing regression module with multiple linear regression using generalized linear models. New methods using existing methods of Oracle Data Mining.
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