Forecasting electricity demand is a very important task for the agents of the Electricity Generation and Distribution Sectors. In this study we present a theoritical background about Brazil's Power Sector Conjuncture and also a review of Quantitative Methods used to estimate electricity consumption around the world. It is estimated a SARMAX model to the three main electricity consumption sectors with mensal data from January 2003 to September 2010.
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Forecasting electricity demand is a very important task for the agents of the Electricity Generation and Distribution Sectors. In this study we present a theoritical background about Brazil's Power Sector Conjuncture and also a review of Quantitative Methods used to estimate electricity consumption around the world. It is estimated a SARMAX model to the three main electricity consumption sectors with mensal data from January 2003 to September 2010.
Fernando Moura has obtained his Msc. degree in Business Administration in 2011. Since than he has worked in different projects in Business Research at FIA/ProCED in Brazil. He is author of articles published in journals and academic conferences in the field of statistical modeling in business, consumer behavior and demand forecasting.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Forecasting electricity demand is a very important task for the agents of the Electricity Generation and Distribution Sectors. In this study we present a theoritical background about Brazil's Power Sector Conjuncture and also a review of Quantitative Methods used to estimate electricity consumption around the world. It is estimated a SARMAX model to the three main electricity consumption sectors with mensal data from January 2003 to September 2010. 180 pp. Englisch. N° de réf. du vendeur 9783848446124
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Forecasting electricity demand is a very important task for the agents of the Electricity Generation and Distribution Sectors. In this study we present a theoritical background about Brazil's Power Sector Conjuncture and also a review of Quantitative Methods used to estimate electricity consumption around the world. It is estimated a SARMAX model to the three main electricity consumption sectors with mensal data from January 2003 to September 2010. N° de réf. du vendeur 9783848446124
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Moura FernandoFernando Moura has obtained his Msc. degree in Business Administration in 2011. Since than he has worked in different projects in Business Research at FIA/ProCED in Brazil. He is author of articles published in journals. N° de réf. du vendeur 5522772
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Forecasting electricity demand is a very important task for the agents of the Electricity Generation and Distribution Sectors. In this study we present a theoritical background about Brazil's Power Sector Conjuncture and also a review of Quantitative Methods used to estimate electricity consumption around the world. It is estimated a SARMAX model to the three main electricity consumption sectors with mensal data from January 2003 to September 2010.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 180 pp. Englisch. N° de réf. du vendeur 9783848446124
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Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. Forecasting electricity consumption with SARMAX Models | An application on Brazil's consumption sectors | Fernando Moura (u. a.) | Taschenbuch | 180 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783848446124 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 106522362
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