Fengyu Wang

Research on Intelligent Power Consumption Business Intelligence System Based on Cloud Computing

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.

Cloud computing based business intelligence platform and its application in the field of intelligent power consumption

According to the two problems of huge amounts of data and how to use them in the process of intelligent power consumption construction, combined with the advantages of cloud computing and related technical methods of business intelligence system, in paper, architecture of business intelligence platform based on cloud computing has been put forward, and compared with traditional architecture of business intelligence platform. The architecture was established after comparing and choosing cloud product domestic and overseas, and finally explained the disposal process of the platform and application examples.

Combined application of cloud computation technology and Business Intelligence

In paper, in order to use the data produced in the development process of epc system network reasonably, Cloud Computing (CC) and the related technologies are presented, and the conception and architecture of Business Intelligence (BI) are introduced. Then the platform architecture of BI based on CC technology, which is also named as the platform architecture of “CC & BI”, is put forward and compared with traditional BI, which obtains the advantages of architecture of “CC & BI”. Finally, it looks into the beautiful future of the applications of “CC & BI”.