With the development of the electric power system, the smart grid has become an important part of the smart city. The rational transmission of electric energy and the guarantee of power supply of the smart grid are very important to smart cities, smart cities can provide better services through smart grids. Among them, predicting and judging city electric power consumption is closely related to electricity supply and regulation, the location of power plants, and the control of electricity transmission losses. Based on big data, this paper establishes a neural network and considers the influence of various nonlinear factors on city electric power consumption. A model is established to realize the prediction of power consumption. Based on the permutation importance test, an evaluation model of the influencing factors of city electric power consumption is constructed to obtain the core characteristic values of city electric power consumption prediction, which can provide an important reference for electric power related industry.

翻译：随着电力系统的发展，智能电网已成为智慧城市的重要组成部分。智能电网中电能的合理传输与供电保障对智慧城市至关重要，而智慧城市可通过智能电网提供更优质的服务。其中，城市电力消耗的预测与评估与电力供应调控、电厂选址及输电损耗控制密切相关。本文基于大数据构建神经网络模型，综合考虑多种非线性因素对城市电力消耗的影响，建立了电力消耗预测模型。基于排列重要性检验方法，进一步构建城市电力消耗影响因素评价模型，提取核心特征值，从而为电力相关行业提供重要参考依据。