obtaining, in response to a power prediction demand for a target new energy station, future numerical weather prediction data of the target new energy station in a future period and historical output power of a historical period corresponding to the future period;

selecting, based on missing of the future numerical weather prediction data and a data amount of the historical output power, a target power prediction model corresponding to the target new energy station from a set of power prediction models, each optional power prediction model in the set of power prediction models being trained and delivered by a cloud server based on an automatic machine learning algorithm;

determining, based on the power prediction demand, a target working mode of the target power prediction model, the target working mode comprising a prediction business object, a prediction type, and a prediction time scale; and

adjusting the target power prediction model according to the target working mode, and predicting, by the adjusted target power prediction model, a target output power of the target new energy station in the future period, based on the future numerical weather prediction data of the future period and the historical output power of the historical period corresponding to the future period.