Research on Power Consumption Prediction Based on Complex Correlation of Big Data

On the basis of analyzing the connotation of big data information in the power market, this study constructs a big data information service index system for the power market, and proposes a cloud computing power data center architecture. On the premise of the construction of the big data cloud platform, the value of big data information in the power market is excavated, and a method to predict power consumption on the basis of complex correlation is proposed. And the rationality and reliability of the method are proved by example.