A hybrid intelligent system clonart for short and mid-term forecasting for the Brazilian Energy Distribution System

The present work describes an application of Clonart (Clonal Adaptive Resonance Theory) for forecasting of amount of precipitation for the Brazilian Energy Distribution System. The effectiveness of the Brazilian electricity system directly depends on the difference between hydroelectric energy produ...

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Bibliographic Details
Main Authors: Alexandrino, J.L., Zanchettin, C., Carvalho Filho, E.
Format: Conference Proceeding
Language:English
Subjects:
Artificial neural networks
Classification algorithms
Clustering algorithms
Genetics
Production
Subspace constraints
Training
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Summary:The present work describes an application of Clonart (Clonal Adaptive Resonance Theory) for forecasting of amount of precipitation for the Brazilian Energy Distribution System. The effectiveness of the Brazilian electricity system directly depends on the difference between hydroelectric energy production and consumer use. Production depends upon the volume of water stored in the reservoirs. A forecasting system for the amount of rainfall throughout the year contributes significantly to the analysis. The plasticity of the Clonart ensures that a new piece of knowledge does not overshadow previous knowledge. This is especially important for forecast problems because this type of problem needs constants training.
ISSN:2161-4393
1522-4899
2161-4407
DOI:10.1109/IJCNN.2008.4634295