Abstract
At present, the comprehensive consideration of multiple types of flexible loads and the complementary characteristics in time and space are less considered, which results in the user’s response potential cannot be further explored. This paper takes flexible load as the research object, and proposes a method for the research of association rules based on multiple types of flexible loads. An association rule mining and evaluation model is established to form an intelligent offline database and a relative connection degree database. As a result, the correlation of various types of flexible loads is discovered through the cooperation of the two, so as to provide guidance for dispatching.
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