Cloud-Edge Collaboration Generation and Sharing Method of Dispatching and Control Sample Data

Artificial intelligence technologies represented by machine learning and deep learning have been studied and applied in the field of power grid regulation, but there are problems such as scattered application results and poor data resource sharing. In order to meet the application requirements of artificial intelligence in power grid regulation and improve the training effect of the model, relying on the multi-level shared architecture and massive data resources provided by the regulation cloud, cloud edge collaboration technology is adopted to design the generation and sharing method of regulation business sample data, achieving collaborative management of sample data, and promoting the inheritance and development of resources and experience in the regulation field.