Abstract: With the advancement of China's energy internet strategy，edge calculation has become an effective

mode to solve the data processing of energy internet. Aiming at the problems of chaotic storage and poor fusion of

heterogeneous power distribution and power data in energy internet，the multi-source data processing and fusion

technology of energy internet were proposed. Firstly，a multi-source data processing and fusion architecture for

energy internet was designed based on edge calculation. Secondly，the optimal scheduling strategy of load balancing for data storage resource layer of intelligent power distribution was proposed，and multi-source data storage and processing were realized by using Hadoop platform. Then，through the principal component analysis method，the main characteristics of the energy internet heterogeneous data were obtained，and the multi-source data fusion model based on the contradiction optimization DS evidence reasoning was constructed，and the multi-source heterogeneous data was grouped and aggregated on the basis of the edge calculation framework. Finally，an experimental analysis was conducted in a distribution network simulation system，the analysis results prove the effectiveness of the proposed method.

      Key words: energy internet；edge calculation；multi-source data processing；cloud computing