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Residential electricity demand forecasting method and system

A technology for residential electricity consumption and demand forecasting, applied in forecasting, data processing applications, instruments, etc., can solve problems that cannot reflect the actual change trend of electricity well, and achieve the effect of avoiding the waste of resources

Inactive Publication Date: 2016-08-24
POWER GRID TECH RES CENT CHINA SOUTHERN POWER GRID +2
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Problems solved by technology

However, the existing research on the electricity demand of residents does not directly consider the impact of the electricity consumption of the household electricity source equipment on the electricity demand, and the prediction results cannot reflect the actual change trend of the electricity.

Method used

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  • Residential electricity demand forecasting method and system
  • Residential electricity demand forecasting method and system
  • Residential electricity demand forecasting method and system

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Embodiment Construction

[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, and do not limit the protection scope of the present invention.

[0023] Residential electricity demand prediction method in one embodiment, such as figure 1 shown, including the following steps:

[0024] Step S101: Obtain the power source equipment of urban and rural residents;

[0025] Step S102: According to the historical inventory of urban and rural residents' electricity source equipment, obtain the inventory of main electrical equipment among urban and rural residents' electricity source equipment;

[0026] Step S103: Predict the total power consumption of the main electrical equipment among the urban and rural residents' elec...

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Abstract

The invention discloses a residential electricity demand forecasting method and a residential electricity demand forecasting system. The method comprises the following steps: acquiring electricity source equipment of urban and rural residents; acquiring the inventory of main electric equipment in the electricity source equipment of urban and rural residents according to the historical inventory of the electricity source equipment of urban and rural residents; forecasting the total power consumption of the main electric equipment of the urban and rural residents according to the inventory of main electric equipment of the urban and rural residents; forecasting the total power consumption of the residual electric equipment according to the historical electricity usage data of the urban and rural residents, the total power consumption of the main electric equipment of the urban and rural residents and the speed increase of the historical total power consumption of the residual electric equipment except the main electric equipment in the electricity source equipment of urban and rural residents; and forecasting the electricity demands of the urban and rural residents according to the total power consumption of the main electric equipment and the total power consumption of the residual electric equipment. The electricity demands of the urban and rural residents are analyzed and forecast, forecasting of electric power market demands in a certain area is aided, annual planning of the power market is reasonably formulated, and waste of resources is avoided.

Description

technical field [0001] The invention relates to the technical field of power market demand forecasting and analysis, in particular to a method and system for forecasting residential electricity demand. Background technique [0002] Residential electricity consumption has always been the most potential growth point in the electricity market, and the analysis of urban and rural residential electricity demand has always been one of the hot issues that people from all walks of life have attracted much attention. For the research and analysis of residents' living electricity demand, in the prior art, per capita disposable income, residential electricity price and the previous period's per capita electricity consumption are selected as factors, and an error correction prediction model for current residents' living electricity demand is established; In addition, based on the panel data model, using the self-calculated comprehensive electrical appliance index as an explanatory varia...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06
CPCG06Q10/04G06Q10/06315G06Q50/06
Inventor 陈政冷媛张翔宋艺航傅蔷蒙文川席云华王玲邢胜男孙露
Owner POWER GRID TECH RES CENT CHINA SOUTHERN POWER GRID
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