Pingping Xia1, *, Aihua Xu2, Tong Lian1
Journal of Quantum Computing, Vol.2, No.1, pp. 25-32, 2020, DOI:10.32604/jqc.2019.09232
Abstract Electricity consumption forecasting is one of the most important tasks for
power system workers, and plays an important role in regional power systems. Due to the
difference in the trend of power load and the past in the new normal, the influencing
factors are more diversified, which makes it more difficult to predict the current
electricity consumption. In this paper, the grey system theory and BP neural network are
combined to predict the annual electricity consumption in Jiangsu. According to the
historical data of annual electricity consumption and the six factors affecting electricity
consumption, the gray correlation analysis method is… More >
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