Computing power dispatching method of power grid cloud platform based on distributed computing

To realize the effectiveness and real-time of computing power scheduling of power grid cloud platform, this paper proposes a load forecasting and computing power scheduling method of power grid cloud platform based on distributed computing. The short-term and ultra-short-term computing power of each virtual resource pool load task is predicted. Based on the decomposition-ensemble model, LSTM (long short-term memory) model and XGBoost model are used to predict the computing power. The cloud platform center server groups each virtual resource pool according to the prediction curve, and only the virtual resource pool in the same group can carry out resource scheduling and information transmission. The scheduling method is verified by experiments, and the test results are good.