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An algorithm of analytic hierarchy process model based on electric power big data of smart grid is studied in this paper with respect to the analysis on the maturity of regional development. In this algorithm, the author uses data-mining technology to analyze the layout of surrounding functional blocks from aspects of consumers distribution and land usage with consumers of a central urban area as the objects and the data of power consumers as the basis. Meanwhile, the author combines data of supporting facilities like business, cultural entertainment, sports, health care, education and scientific research to calculate the regional development maturity and analyze the data-mining model through the AHP model based on electric power big data of smart grid. And finally a mathematic model of AHP with strong robustness is constructed. The experiment shows that an analytical hierarchy process algorithm is first designed for the realization of the development guidance target of urban function areas in the undertaking that smart grids support smart cities. In the meantime, a maturity analyzing technique based on the advanced and reliable data-mining algorithm is also proposed for regional development level.

An Algorithm of Analytic Hierarchy Process Model Based on Electric Power Big Data of Smart Grid