Ying Li, Rui Zhou, Fei Liang, Haili Ding, Guangxia Ma, and Haiyan Wang
Electricity marketing, remote metering collection, cloud computing, electricity information collection
With the gradual realization of the goal of “full coverage, full collection, and full cost control” in the power user information collection system established by the State Grid Corporation of China, the number of collection terminals operating in the power system has increased sharply, resulting in the amount of collected power system data information. This article aims to study the application of cloud computing in the remote collection system of electric power marketing field measurement. This article first analyzes the application of cloud computing in power system information storage, user data processing, user data analysis and security protection, and then proposes a cloud computing-based remote collection system for power marketing on-site measurement. By regularly loading and cleaning the data warehouse, multi-dimensional analysis and processing of the data collected by remote measurement, two algorithms of association rules and decision trees are used to dig out unknown important marketing knowledge, and the system knowledge base is constantly updated, so that the system can exert its independent learning ability and realize the functions of remote measurement and collection. The 500 found in the survey are traditional users, and 500 are using remote collection systems, each of which is a set of 100. Taking 100 users in a community as an example, the data show that the measurement remote acquisition system can save about 20% of the cost and improve about 45% of the work efficiency.
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