Abstract:Zero-carbon energy system is an effective way to promote the construction of clean and low-carbon energy system and realize carbon neutralization.However, the intermittence and volatility of wind, solar and other renewable energy power generation have brought great challenges to the rational planning and scientific allocation of zero-carbon energy system.In this paper, an uncertainty programming method for zero-carbon energy system based on LSTM quantile regression is proposed.Firstly, the physical structure of the zero-carbon energy system is constructed, and the typical equipment in the system is modeled.Then, based on the interval number theory, the interval prediction model of photovoltaic power generation based on LSTM quantile regression is constructed.Taking the minimum annual total cost as the objective function, the mixed integer linear programming model which can optimize the equipment configuration and operation schedule is constructed.Finally, through the numerical study, the correctness and feasibility of the proposed model is verified.