Articles liés à Forecasting electricity consumption with SARMAX Models:...

Forecasting electricity consumption with SARMAX Models: An application on Brazil's consumption sectors - Couverture souple

Moura, Fernando; Montini, Alessandra

 
9783848446124: Forecasting electricity consumption with SARMAX Models: An application on Brazil's consumption sectors

Synopsis

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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Présentation de l'éditeur

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.

Biographie de l'auteur

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.

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