Research for renewable energy power prediction system based on cloud edge collaboration
In order to meet the requirement of mass data analysis and calculation for current multi-time scale new energy power forecasting,a new energy power prediction system design scheme based on cloud edge collaboration is proposed in this paper.The overall structure of cloud-side collaborative forecasting sys-tem is built.The cloud side controls power forecasting tasks and server resources,while the edge besides task-demand side and shares storage and computing tasks.The edge forms a hierarchical relationship with the cloud.Docker container technology is used to make the use of resources of cloud edge system efficient-ly,and resource allocation algorithm is used to optimize the delay and power balance of system multi-serv-ers.For cloud-side interaction of large data files,communication optimization transmission mechanism is proposed to save transmission delay and bandwidth occupancy.Finally,an example is provided to verify that the proposed system can meet the needs of large-scale of power forecasting tasks for new energy during multi-time scale.
new energypower predictioncloud edge collaborationcontainerbig scale
万方数据
维普
