Resumo:
Nowadays, the quantity of inherent information to our environment is huge.
For treat these information appeared an area called Data Mining. Inside of this area,
there are some algorithms to carry out the knowledge discovery in Data Bases. Some
examples of algorithms can be mentioned, such as: Neural Networks, Fuzzy Logic,
Genetic Algorithm, Bayesian Algorithm, and Induction Tree.
In this work topics related with Data Mining were studied, with the purpose
of apply in problems related with Electrical Engineering. The Naive Bayes algorithm
was chosen with objective of recognize electrical energy consumption patterns, as an
alternative to Artificial Neural Networks that are remembered in pattern recognition
problems. Initially, some concepts of statistics were analyzed, and subsequently the
concepts of the algorithm Naive Bayes are presented.
The original algorithm was modified with the purpose of recognize load
curves of industrial, commercial, residential consumers in Electrical Power Systems.
A computational package, called Weka, has been used. This package implemented
was implemented in Java and has several data mining algorithms.