A Data Mining Approach For Medium-term Demand Forecasting
Author(s)
G. S. Terra, M. C. S. Lopes & N. F. F. Ebecken
Abstract
A data mining approach for medium-term
demand forecasting
G. S. ~ e r r a " ~ , M. C. S. Lopes1 & N. F. F. beck en'
I NU, COPPE, Universidade Federal do Rio de Janeiro
2 CEFET-Campos, UNED-Macae'
Abstract
The Brazilian government, in the past, monopolized the generation, transmission
and distribution of electric energy. Following world-wide tendencies, nowadays
the government assumes the regulation function in a competitive and horizontal
market.
The variable load, fundamental in the planning of the electrical and energy
operation, in the studies of magnifying and reinforcement of the basic network,
assumes strategic importance in the commercial area, improving the data storage
and knowledge extraction process using computational techniques.
In the present work, data mining techniques are used to produce monthly load
forecasts in intervals of high, medium and low consumption, according to the
needs of electrical energy distribution companies. The results of neural network
models, when compare
Keywords
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