Abstract
By using of the object-oriented technology and the knowledge representation of the production rule, this paper classifies the operation experience of grid according to the nature and builds a power grid operation experience knowledge base with active learning capability. Through application of Bayesian classifier model based on weight, it classifies the statistical data and identifies the semantic, to realize the exchange between the knowledge base and the users feedback. Using the powerful learning ability of knowledge base, it can make the operation experience knowledge base optimize its knowledge system structure while exchanging with users feedback, so that it can go on refining the operation experience base of the grid. This method can provide technical support and improve the quality of the stuff, as well as strengthen the security and stability of the grid.
Published Version
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