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Proceedings Paper

Performance evaluation of load forecasting models for energy purchase of power suppliers in the Amazonian region
Author(s): Guilherme Conde; Ádamo L. Santana; Carlos Renato Lisboa Frances; Claudio A. Rocha; Liviane Rego; Diego L. Cardoso; João W. Costa; Vanja Gato
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Paper Abstract

One of the most desired aspects for power suppliers is the acquisition/sell of energy in a future time. This paper presents a study of load forecasting for power suppliers, presenting a comparative application of the techniques of wavelets, time series methods and neural networks, considering short and long term forecast; both of great importance for power suppliers in order to define the future power consumption of a given region.

Paper Details

Date Published: 2 October 2007
PDF: 8 pages
Proc. SPIE 6763, Wavelet Applications in Industrial Processing V, 67630V (2 October 2007); doi: 10.1117/12.748397
Show Author Affiliations
Guilherme Conde, Univ. Federal do Pará (Brazil)
Ádamo L. Santana, Univ. Federal do Pará (Brazil)
Carlos Renato Lisboa Frances, Univ. Federal do Pará (Brazil)
Claudio A. Rocha, Univ. Federal do Pará (Brazil)
Liviane Rego, Univ. Federal do Pará (Brazil)
Diego L. Cardoso, Univ. Federal do Pará (Brazil)
João W. Costa, Univ. Federal do Pará (Brazil)
Vanja Gato, REDE Celpa (Brazil)

Published in SPIE Proceedings Vol. 6763:
Wavelet Applications in Industrial Processing V
Frédéric Truchetet; Olivier Laligant, Editor(s)

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