Paper
2 October 2007 Performance evaluation of load forecasting models for energy purchase of power suppliers in the Amazonian region
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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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.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Guilherme Conde, Ádamo L. Santana, Carlos Renato Lisboa Frances, Claudio A. Rocha, Liviane Rego, Diego L. Cardoso, João W. Costa, and Vanja Gato "Performance evaluation of load forecasting models for energy purchase of power suppliers in the Amazonian region", Proc. SPIE 6763, Wavelet Applications in Industrial Processing V, 67630V (2 October 2007); https://doi.org/10.1117/12.748397
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KEYWORDS
Wavelets

Data modeling

Neural networks

Performance modeling

Decision support systems

Factor analysis

Error analysis

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