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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Resultados da Pesquisa
Item Uso do Método Holt-Winters para Previsão do PU de Títulos Públicos Federais do Brasil(INSTITUTO DE TECNOLOGIA, 2015) SANTIAGO, Sandro Breval; LIMA, Orlem Pinheiro de; RODRÍGUEZ, Carlos Manuel Taboada; Jandecy Cabral LeiteThe article evaluates the predictive capability of the Holt-Winters exponential smoothing method for forecasting the Unit Prices (PU) of Brazilian National Treasury Notes – type B (NTN-B) in the secondary market. The sample comprises daily PU quotations from January to December 2012. Results, analyzed using MAPE (0.33%) and Theil’s U (0.928) metrics, demonstrate that the additive Holt-Winters method is effective for pricing these securities, serving as a valuable tool for financial market trading decisions.Item Previsão da Eficiência de uma Usina Geradora de Energia Elétrica(INSTITUTO DE TECNOLOGIA, 2014) SILVA, Wagner Ferreira; CAMPOS, Lucila Maria de Souza; MIGUEL, Paulo Augusto Cauchick; MAGALHÃES, Edilson MarquesThe study examines the efficiency reduction of motors in an electricity-generating plant from 2001 to 2013, forecasting efficiency up to 2020. Methods such as exponential, logarithmic, linear, and ARIMA were applied using tools like Excel and SPSS20. Results indicated consistency across models, demonstrating the effectiveness of simple solutions for long-term forecasts. The research underscores the significance of forecasting for strategic and operational planning in thermoelectric plants.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.