DATA PRIVACY PRESERVING METHOD AND SYSTEM FOR PROBABILISTIC RENEWABLE POWER GENERATION SEQUENCE FORECASTING

A method for probabilistic forecast of day-ahead power generation sequences of a plurality of renewable power plants. The method includes the steps of: a) for each one of a plurality of client devices, mapping its raw data input to latent features; b) transmitting a locally hosted forecasting model in the form of the latent features and model parameters of each client device to a server; c) aggregating the locally hosted forecasting models of the plurality of client devices at the server; d) dispatching the aggregated models to the client devices; e) updating the locally hosted forecasting model on each client device based on the aggregated models; and f) generating, at each client device, power output sequence probabilistic forecasts based on the updated locally hosted forecasting model. The plurality of client devices each corresponds to a respective one of the plurality of renewable power plants. The plurality of client devices is connected to the server.