Modeling method of power use load prediction system for power client

A technology of electricity load and modeling method, which is applied in forecasting, data processing applications, instruments, etc., and can solve problems such as waste of resources, economic loss, and impact on people's daily life

Inactive Publication Date: 2016-12-07
MERIT DATA CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Electricity cannot be directly stored like coal, oil and other resources, and its production, transportation and consumption can only be carried out at the same time. Too much supply will cause huge waste of resources, while insufficient supply will seriously affect people's daily life and bring economic losses.
In addition, the huge investment makes the construction of the power grid have a certain time lag

Method used

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  • Modeling method of power use load prediction system for power client
  • Modeling method of power use load prediction system for power client
  • Modeling method of power use load prediction system for power client

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Embodiment Construction

[0035] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0036] figure 1 An implementation flow chart of the electricity sales forecasting method provided by the embodiment of the present invention, including:

[0037] Step S11: Group the electricity load of the historical days in the past year according to whether it is a working day or not;

[0038] Obtain the date information of each day in the past year, determine whether each day is a working day or a non-working day, where non-working days include weekends an...

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Abstract

The invention discloses a modeling method of a power use load prediction system for a power client. The method comprises a step of grouping the power use loads of the historical days of several past years into a working day group and a non-working-day group, a step of modeling the power use loads of the working day group and a non-working day group according to the grouping result, a step of matching prediction days with the grouping result according to working days and non-working days so as to matching the model of a corresponding set to predict the prediction day load to obtain a preliminary prediction result, a step of obtaining a prediction day error correction value by using a Markov calculation prediction error transfer matrix, and a step of obtaining a final prediction result by the preliminary prediction result and the prediction day error correction value. According to the method, the prediction of the power use load is realized, a basis is provided for the investment planning of a power grid, and the working efficiency of the power grid is improved.

Description

technical field [0001] The invention relates to the field of electricity consumption forecasting, and more specifically, relates to a modeling method for an electricity consumption load forecasting system of an electric power client. Background technique [0002] Accurate forecasting of power consumption is the basis of power system operation and planning, and the basis for power companies to formulate distribution plans and business strategies. As a special commodity, the production, transmission, distribution and use of electric energy have distinct characteristics compared with other industrial products. Electricity cannot be directly stored like coal, oil and other resources, and its production, transportation and consumption can only be carried out at the same time. Too much supply will cause huge waste of resources, while insufficient supply will seriously affect people's daily life and bring economic losses. In addition, the huge investment makes the construction of ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06
Inventor 程宏亮卢耀宗强劲苟蛟龙杨文
Owner MERIT DATA CO LTD
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