Analysis Technology and Typical Scenario Application of Electricity Big Data of Power Consumers
Zheng Hai-ya · Power System Technology · 2015
In view of difficulties faced by key technology research of electricity big data and fusion application of big data technology and power system, an effective solution was proposed to solve the problems, and deep data mining of electricity big data combined with case analysis was applied. Firstly, based on construction and operation of electricity big data platform, technological problems were presented, such as multi-source heterogeneous data extraction, data storage scheme for meeting different business requirements and multi conditional fast combination data query. Golden Gate was applied to realize low impact and high efficiency data extraction, HBase and Hive were collaborated to meet requirements of fast query and off-line calculation, and efficient stereo index system was constructed in data import phase to improve efficiency of fast combination query. Secondly, combined with big data technology, construction of load impact model of distribution transformer, short-term load forecasting, residential housing vacancy rate analysis and industry capacity utilization rate were realized. Above application scenarios provided technical supports for improving accuracy of load modeling and forecasting and data supports for government to control housing situation and industry development status.