New energy plant station mid-term output prediction method and system based on power grid private cloud

The invention provides a power grid private cloud-based new energy plant station mid-term output prediction method and system. According to the method provided by the invention, data are integrated and cleaned based on a private cloud platform of a power grid, so that the availability of the data is enhanced, deployment is carried out depending on the private cloud platform, equipment investment of local and municipal bureaus is not needed, computing resources such as a multi-core GPU (Graphic Processing Unit) and supercomputing of the cloud platform can be shared, and 24-hour uninterrupted training is realized; a grid traversal method is adopted to realize automatic searching of an optimal solution of algorithm parameters, and a tedious manual parameter adjustment process is not needed; the prediction error can be corrected in time, so that the external error of the model is effectively reduced; and for output prediction relying on a power grid private cloud platform, data intercommunication and visual displ