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City electric power consumption forecasting based on big data & neural network under smart grid background | | Zhengxian Chen
; Maowei Wang
; Conghu Li
; | | Date: |
1 Sep 2023 | | Abstract: | 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. | | Source: | arXiv, 2309.00245 | | Services: | Forum | Review | PDF | Favorites | |
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