It’s to analyse and predict the electricity consumption of automotive plant by means of ARIMA model

and to choose electricity consumption data from January 2015 to September 2018 as analysed sample. The time series is analyzed

processed

fitted

model-checked and data-predicted on Eviews 10 platform. By comparison

the optimized model is ARIMA（1

1

1）（1

1

1）12. And through the electricity forecasting expression

the predicting electricity consumption of October and November 2018 is 19 816 784 kW·h and 21 868 199 kW·h

and being compared to actual figures

the predicting error is individually 3.82% and 2.94%. The result shows this fitted model has good predicting influence on the electricity consumption of automotive plant and meets the declaring error of 5% in the direct purchase of electricity.