The bachelor thesis is oriented on the balance of the Czech Republic in relation to the budget of the European Union. The main aim of the thesis is to evaluate the relationship between the Czech Republic's net position and the European Union budget, to assess the development of the Czech Republic's net position and to assess the use of subsidies by the Czech Republic. The first part of the thesis is focused on the definition of basic terms related to this issue. The methodology includes methods and procedures that are used in the practical part of the thesis. The practical part of the thesis is focused on the prediction of the development of the net position of the Czech Republic in the next programming period 2021-2027. Using the chain indexes and the average rate of growth, this prediction was quantified. In second part of the practical part, an analysis of the drawing of subsidies in the current programming period was carried out and the prediction determined the approximate percentage of total drawing at the end of this period. In the second part of the practical part, an analysis of the drawing of subsidies in the current programming period was carried out. Using the predict, the approximate percentage of total drawing was determined.

This master thesis is focused on the analysis of payment responsibilities and entitlements resulting from these responsibilities to benefits for employees and self-employed persons in the long term period. The main aim of this thesis is to determine the overall net position of a model employee and self-employed person towards public budgets. The thesis is divided into two parts, theoretical and practical one. In the theoretical part there are analyzed tax burden of model subjects and their benefits arising from participation in the subsystems of the social security. In the beginning of the practical part there are determined assumptions of the model. Based on the assumptions a comparison of tax burden and received benefits of model subjects has been made and consequently the net position of the model subjects in the researched subsystem has been calculated. The last subchapter of practical part summarizes the total net position of model employee and self-employed person towards public budgets.

Forecast and estimation on transmission line losses is a vital task in the daily operation and planning of the Swedish power system. The aim with this thesis is to design a new line loss prediction model at Svenska kraftnät (Svk), which provides a hourly forecast of the transmission line losses the next day for the Swedish bidding areas (SE1-SE4). The final goal is to reduce the additional cost related to inaccurate predictions. The developed model is based on regression analysis on historical line losses and estimated exchange flows between the adjacent bidding areas computed by linear programming. Simulation results for 2015 show that it is, with rather simple estimates and assumptions, possible to increase the prediction accuracy with up to 27% compared with the existing method and to reduce the related costs in a similar way. The study also shows that future modelling has potential to increase the precision even further and recommends a Neural Network approach as the next step. / Prognoser och estimering av stamnätsförluster är en central del i den dagliga driften av det svenska kraftsystemet. Den här uppsatsen har därför syftat till att utveckla en simuleringsmodell som ger en timvisprognos över morgondagens förluster i varje elområde (SE1-SE4). Detta verktyg är senare tänkt att precisera den dagliga upphandlingen av förluster och därmed minska kostnaden kopplad till osäkra prognoser. Den utvecklade modellen bygger på en regressionsanalys av tidigare uppmätta förluster och uppskattade transmissionsflöden mellan de närliggande elområdena beräknad med linjär programmering. Simulerignar för 2015 visar att, det med föhrhållandesvis enkla antaganden och uppskattningar av indata, går att precisera förlusterna med uppemot 27% jämfört med dagens prognos och därmed minska kostnaderna i liknande omfattning. Studien visar också att förbättringspotentialen är stor och rekommende-rar fortsatta studier utifrån en Neurala Nätverk modell.