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With the development of the electric power system, the smart grid has becomean important part of the smart city. The rational transmission of electricenergy and the guarantee of power supply of the smart grid are very importantto smart cities, smart cities can provide better services through smart grids.Among them, predicting and judging city electric power consumption is closelyrelated to electricity supply and regulation, the location of power plants, andthe control of electricity transmission losses. Based on big data, this paperestablishes a neural network and considers the influence of various nonlinearfactors on city electric power consumption. A model is established to realizethe prediction of power consumption. Based on the permutation importance test,an evaluation model of the influencing factors of city electric powerconsumption is constructed to obtain the core characteristic values of cityelectric power consumption prediction, which can provide an important referencefor electric power related industry.

City electric power consumption forecasting based on big data & neural network under smart grid background