03632ntm a22005777i 4500 000681395 CZ-PrVSE 20210130143750.0 m d cr n|||||||||| 210130s2020 xr fsbm 000 0 eng d NEZPRACOVANÝ IMPORT ABA006 cze ABA006 ABA006 rda Cortez, Danica ISIS:143499 dis Modeling Household Energy Use in the Czech Republic eng Modeling Household Energy Use in the Czech Republic / Danica Cortez 2020 ?? stran : digital, PDF soubor Vedoucí práce: Jaroslav Sixta Diplomová práce (Ing.)—Vysoká škola ekonomická v Praze. Fakulta informatiky a statistiky, 2021 Obsahuje bibliografii Textový (vysokoškolská kvalifikační práce) Rok obhajoby 2021 Energy statistics in the realm of national statistics have become increasingly important. The demand for capturing these statistics on the part of international organizations, specifically Eurostat, has equally increased. This paper presents an exploration of energy estimation models that can be utilized for estimating total energy consumption on the national and household level. The first part covers the theoretical framework that has been built by researchers over the past decades with regards to modeling household energy consumption. Next, a brief overview is given on how energy statistics are produced in Europe and in the Czech Republic, including the common methods of producing household energy consumption statistics. Next, an analysis is offered on the energy consumption in the Czech Republic, including its evolution through time as well as its breakdown over different sectors. Finally, a presentation of models is given, along with their estimates and forecasts. This report found that regional differences in energy consumption exist, as well as stark differences between dwelling types and region density. In the Czech Republic, dwellings that are household consume more energy than apartments. The upper estimates for energy consumptions for households suggest an increase between 11% to 17% from 2019 to 2029. The upper estimates for national consumption for the Czech Republic predict an increase of between 1.89 to 1.99 exajoules by 2029. Způsob přístupu: Internet official statistics [obor dipl. práce] diplomové práce fd132022 czenas master's theses eczenas geospatial analysis Household energy consumption European energy bottom-up model multiple linear regression neural networks Czech energy consumption residential energy consumption top-down model time series forecast Sixta, Jaroslav vse2010609910 ths Musil, Petr ISIS:13630 opn Vysoká škola ekonomická v Praze. Fakulta informatiky a statistiky kn20010709399 dgg https://insis.vse.cz/zp/73648/podrobnosti VŠKP v InSIS https://insis.vse.cz/zp/73648 Hlavní práce https://insis.vse.cz/zp/73648/posudek/vedouci Hodnocení vedoucího https://insis.vse.cz/zp/73648/posudek/oponent/68879 Oponentura https://insis.vse.cz/zp/73648/podrobnosti dc:identifier NEPOSILAT VSKP vse73648 210130 73648