Energy monitoring method, device and equipment based on cloud platform and medium

Abstract

Embodiments of the present application provide an energy monitoring method and device based on a cloud platform, equipment and a storage medium. The method comprises: obtaining a plurality of sample data sets; inputting each sample energy data into a total trend prediction model to obtain total trend information, and inputting each sample energy data into a corresponding sub-trend prediction model to obtain sub-trend information, and then determining a prediction state; determining a target loss according to the prediction state and a corresponding state label; jointly training the total trend prediction model and the sub-trend prediction model according to the target loss; obtaining a target data set, inputting the target data set into the trained total trend prediction model and the trained sub-trend prediction model, and determining a state result of the target data set; determining a control instruction according to the state result, and sending the control instruction to an energy monitoring platform, so that the energy monitoring platform controls an energy device. Embodiments of the present application can predict an accurate state result, thereby effectively controlling each energy device.

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