Title :
A hybrid intelligent system clonart for short and mid-term forecasting for the Brazilian Energy Distribution System
Author :
Alexandrino, José Lima ; Zanchettin, Cleber ; Filho, Edson Costa de Barros Carvalho
Author_Institution :
Centro de Inf., Fed. Univ. of Pernambuco, Recife
Abstract :
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.
Keywords :
ART neural nets; distribution networks; hydroelectric power; load forecasting; power engineering computing; Brazilian electricity system; Brazilian energy distribution system; clonal adaptive resonance theory; consumer use; hybrid intelligent system Clonart; hydroelectric energy production; mid-term forecasting; short-term forecasting; water reservoir; Autoregressive processes; Energy consumption; Hybrid intelligent systems; Load forecasting; Production systems; Reservoirs; Resonance; Silicon compounds; Water resources; Water storage;
Conference_Titel :
Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-1820-6
Electronic_ISBN :
1098-7576
DOI :
10.1109/IJCNN.2008.4634295
