Digital Twin Model of Digital Integrated Energy System Based on Data-physics Hybrid Driven

Digital integrated energy system with data center as the core plays an important role in promoting digital economy. In order to realize the load forecasting and decision analysis of digital integrated energy system under various working conditions, this paper studies the digital twin model of digital integrated energy system driven by data-physics hybrid, presents a load forecasting method based on digital twin model of digital integrated energy system, carries out an example analysis of load deduction and prediction of digital integrated energy system based on weather and environmental factors. The result shows that the prediction accuracy of the proposed digital twin model is high, the application of this model can provide necessary decision basis and technical support for the scientific decision of digital integrated energy system operation.