Artigos
URI permanente para esta coleçãohttps://rigalileo.itegam.org.br/handle/123456789/219
Artigos produzidos de convênios e parcerias com IES
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Item Previsão do Índice de Emissões de uma Usina Geradora de Eletricidade(INSTITUTO DE TECNOLOGIA, 2015) SILVA, Wagner Ferreira; CAMPOS, Lucila Maria de Souza; MIGUEL, Paulo Augusto Cauchick; RODRÍGUEZ, Jorge Laureano Moya; LEITE, Jandecy Cabral; Prof Dr. Walter Barra JuniorThe study examines the emission indices of an electricity-generating plant from 2001 to 2013, forecasting emissions up to 2020. Methods such as exponential, logarithmic, linear, and ARIMA were applied using tools like Excel and SPSS20. Results indicated an increase in emissions over time, with variations depending on the method used. The research underscores the significance of forecasting for environmental and operational planning in thermoelectric plants, while comparing the effectiveness of different methods.Item Diferentes métodos para a análise da previsão do índice de emissões de uma usina geradora de eletricidade(INSTITUTO DE TECNOLOGIA, 2014) GOMES, Paulo Cesar Rocha; RODRIGUEZ, Jorge Laureano Moya; LEITE, Jandecy Cabral.; MAGALHÃES, Edilson MarquesThe study evaluated different methods for forecasting the emission index of a thermoelectric power plant, using data from 2001 to 2013 and projecting values until 2020. The ARIMA, exponential, and logarithmic methods were applied, supported by tools such as Excel and SPSS20. Results showed that the ARIMA method provides more accurate forecasts for long and well-behaved time series, while linear and logarithmic methods are suitable for clear growth or decline trends. The study concluded that the choice of method depends on data characteristics and analysis objectives.