DocumentCode
2426859
Title
Forecast models and the nature of the decision process: The case of a Brazilian electricity distribution company
Author
Homrich, M.C. ; Dorion, E. ; Camargo, M.E. ; Olea, P.M. ; Cruz, M.R.
Author_Institution
Univ. of Caxias do Sul, Caxias do Sul, Brazil
fYear
2012
fDate
11-13 June 2012
Firstpage
173
Lastpage
178
Abstract
Needs for adequate long-term planning in the execution of energy generation to meet growing demand leads to intense regulation on energy distributors. A research was realized by a Brazilian distribution company to identify the consumption prediction methods, the nature of the decision process and their specific interaction scheme. Were initially identified the models already used by other distribution companies. After, were studied the accuracy of the models and the models were adjusted based on the industrial consumption, with the use of Box-Jenkins methodology. Finally, were established criteria which have an impact on the decision process, using Herbert Simon´s theory; demonstrating the limited value of any existing tool, and the importance of using more than one, integrating quantitative to qualitative analysis.
Keywords
decision making; electricity supply industry; forecasting theory; industrial economics; power consumption; power distribution control; power distribution economics; Box-Jenkins methodology; Brazilian electricity distribution company; Herbert Simon theory; consumption prediction method; decision process; energy distributor regulation; energy generation; forecast model; industrial consumption; long-term planning; qualitative analysis; quantitative analysis; Companies; Contracts; Decision making; Electricity; Forecasting; Marketing and sales; Predictive models; Brazilian industry; Forecast Models; decision process; electricity distribution sector;
fLanguage
English
Publisher
ieee
Conference_Titel
Management of Innovation and Technology (ICMIT), 2012 IEEE International Conference on
Conference_Location
Sanur Bali
Print_ISBN
978-1-4673-0108-4
Type
conf
DOI
10.1109/ICMIT.2012.6225800
Filename
6225800
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