In order to extract valuable knowledge from massive intelligent power consumption data to support decision-making, an intelligent power consumption business intelligence system architecture based on cloud computing technology is proposed in the paper. First, the design principle and architecture of the system are introduced. And then the key techniques and algorithms to mine knowledge from massive data are discussed in detail. Finally, to verify the effectiveness of the system, a parallel multidimensional analysis and parallel data mining practice for intelligent power consumption data is implemented, which shows a good application effect.
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