An Approach to Determining Gas Stock Dynamics Based on Neural Differential Equations

This article discusses the use of the ordinary differential equation ODE (ODE, ordinary differential equation) for solving problems of the dynamics of the gas stock. Since it is difficult to solve the stock dynamics equations numerically, the application of machine learning algorithms to solve such problems is currently widely used.