Method and apparatus for predicting domestic energy consumption based on family structure changes
A consumption and family technology, applied in forecasting, marketing, business, etc., can solve the problems of family demography theory and lack of data, and family analysis unit application lag, etc., to achieve strong usability and practicability, and facilitate promotion , the effect of reducing requirements
Inactive Publication Date: 2016-08-17
傅崇辉
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Problems solved by technology
The reason is that the relative lack of family demography theory and data has resulted in the obvious lag in the application of family analysis units in environmental and social science research.
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[0022] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.
[0023] In order to illustrate the technical solutions of the present invention, specific examples are used below to illustrate.
[0024] method embodiment
[0025] This embodiment provides a method for predicting living energy consumption based on family structure changes, see figure 1 , including step S101, step S102, step S103 and step S104.
[0026] Step S101, collect data, the data includes urban population proportion, per capita GDP, primary industry proportion and birth rate index, and determine the family transition stage of each region according to the collected data.
[0027] Specifical...
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The invention is applicable to the technical field of energy consumption prediction, and provides a method and device for predicting living energy consumption based on family structure changes. The method includes: collecting data, the data including the proportion of urban population, per capita GDP, the proportion of the primary industry and birth rate indicators, determining the family transition stage in each region according to the collected data; collecting the average family size indicators in different regions, Using the segmental regression model to calculate the model parameters of Class I area and Class II area respectively; based on the model parameters, use the logarithmic average Divisia index method to decompose the population size effect and family size effect of family number change; based on the decomposed family number The population size effect and family size effect of change, using the logarithmic average Divisia index method to decompose the contribution of family transition to the change of living energy consumption, in order to predict the change of China's living energy consumption in the future.
Description
technical field [0001] The invention belongs to the technical field of energy consumption prediction, and in particular relates to a method and device for predicting living energy consumption based on family structure changes. Background technique [0002] In China, which is in the process of social transformation, its families are experiencing unprecedented cultural, social and technological impacts, and profound changes are inevitable. At the same time, they also affect the lifestyle, family functions and intergenerational communication of the entire society. And make it show the characteristics of the times. Under the macro background of China's slowing population growth and increasing investment in environmental protection, population transition has not brought about significant relief of resource consumption and environmental degradation, and China and the world have still not found a solution to the environmental problems brought about by industrial civilization. basi...
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IPC IPC(8): G06Q10/04G06Q30/02
CPCG06Q10/04G06Q30/0202
Inventor 傅崇辉王文军曾序春焦桂花
Owner 傅崇辉