Descarbonización en el sector industrial, evaluación de procesos, metodologías y proyecciones de escenarios sostenibles según el balance energético Ecuador 2022
Making predictions about CO2 emissions from the industrial, production, and agrofishing-mining sectors of Ecuador is extremely important in order to understand the impact they will have on the environment in the upcoming period (2022-2030). In this particular case, software such as EXCEL was used, w...
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| 格式: | bachelorThesis |
| 語言: | spa |
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2024
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| 主題: | |
| 在線閱讀: | http://dspace.ups.edu.ec/handle/123456789/27375 |
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添加標簽 | 總結: | Making predictions about CO2 emissions from the industrial, production, and agrofishing-mining sectors of Ecuador is extremely important in order to understand the impact they will have on the environment in the upcoming period (2022-2030). In this particular case, software such as EXCEL was used, with its forecasting tool, in addition to the use of MATLAB software, which has more sophisticated prediction tools like autoregressive models. For this case, we focused on the autoregressive moving average (ARMA) model. The main foundation of the ARMA model is to relate current and historical data to make a forecast, based on temporal (annual) behavioral patterns. In this document, we analyze the efficiency of the ARMA model, using an official database that aims to determine how this model adjusts and predicts the amount of CO2 emissions that will be released into the environment in the aforementioned period of time |
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