Evaluation of Online Tool Data Management for Warehouse Management for Power Big Data

With the rapid development of China's data industry, power big data has gradually become the main object of national construction and innovation. Especially in the promotion of sensors and intelligent equipment and so on, more and more electric power data sources, the type characteristics shown more complex, the use of big data related to technology, the hidden data information, not only can improve the efficiency of the power system, can also provide effective basis for warehouse management. As the main management tool for power big data, power load prediction can guarantee the power system and power supply quality on the one hand, and can provide more effective information by warehouse management on the other hand, and the actual prediction results directly affect the accuracy of the whole system operation. Therefore, on the basis of understanding the development trend of power big data, this paper takes data mining technology as the core to improve and explore the power load prediction, so as to ensure the accuracy and effectiveness of online tools and data management of warehouse management.