Deep learning-based ai distributed photovoltaic prediction model

Abstract

The present invention discloses a deep learning-based AI distributed photovoltaic prediction model, which includes an equipment inspection module and a central processing module that respectively controls and connects a data collection module, a model training module, a prediction processing module, an environmental detection module, and the equipment inspection module. In this invention, the environmental detection module is used to monitor the environment, and the equipment inspection module is used to inspect the devices in the distributed photovoltaic system, thereby avoiding large prediction errors caused by other factors. The data detection module inspects the processed data to ensure that the data quality meets the requirements, preventing low-quality data from affecting the training and performance of the prediction model.

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