Hybrid Data-Physics Based Digital Twin Modeling Framework for the Power System of Bobsleigh and Tobogganing Venue for Beijing Winter Olympics

In order to realize power prediction, deduction and decision analysis of venues for Beijing Winter Olympics under various conditions, this paper studies the digital twin modeling framework for the power system of bobsleigh and tobogganing venue, considering the great influence weather conditions had on ammonia ice-making system and the indoor heating system load, we build a weather forecasting model based on support vector machine (SVM), propose a load prediction method of digital twin for venue power system, and prediction example is analyzed. It is proved that the proposed digital twin model obtains high prediction accuracy, and the application of this model can provide necessary decision basis and technical support for operators to make scientific decisions.