Integrated energy predicting method
A forecasting method and comprehensive energy technology, applied in forecasting, instrumentation, character and pattern recognition, etc.
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[0086] The implementation mode specifically includes the following steps:
[0087] Step 1. Select the historical data of regional factors and the measured value of energy consumption demand by year as data samples.
[0088] First of all, in this embodiment, the year to predict the energy consumption demand is determined as 2013, and the user can choose the year to be predicted according to the needs.
[0089]Then, select the historical data of the regional factors in each of the six years before 2013 and the measured values of energy consumption demand corresponding to the year and the region. The historical data of the regional factors include the following 10 items of data: total population, No. The gross value of the secondary industry, the gross national product, the consumption level of residents, the average price of electricity, the actual output of primary energy for electricity, the proportion of electricity consumption, the elastic coefficient of energy production,...
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