Accurate carbon data driven load side energy consumption clustering analysis method based on correlation coefficient measurement

The invention provides an accurate carbon data driven load side energy consumption clustering analysis method based on correlation coefficient measurement, and the method comprises the steps: obtaining the source side and user load side carbon emission data of a regional power distribution network from a data layer of the regional power distribution network; a regional power system load side energy consumption model considering load side energy consumption component changes is constructed, classified carbon emission weighting is performed according to electric energy consumption generated by different power consumption behaviors, source side and load side carbon emission factors are introduced to serve as correlation coefficients, the carbon emission factors are substituted into a time domain to calculate the carbon intensity correlation energy consumption rate, and the carbon intensity correlation energy consumption rate is calculated. And combining the energy consumption rate related to the carbon intensity