User load trend prediction method based on moving average line

A moving average and trend forecasting technology, applied in the field of electric power, can solve problems such as inability to accurately reflect the changing trend of power load, unfavorable display of changing trend of power load, unfavorable government and power sector analysis and forecasting, etc.

Pending Publication Date: 2019-07-30
STATE GRID ZHEJIANG ELECTRIC POWER +2
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Problems solved by technology

[0003] The existing power load data is fragmented, discrete, and not highly correlated, which is not conducive to analysis and forecasting by the government and power departments, and cannot accurately reflect the changing trend of power load. At the same time, it is not conducive to intuitively displaying the changing trend of power load to the public

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  • User load trend prediction method based on moving average line
  • User load trend prediction method based on moving average line
  • User load trend prediction method based on moving average line

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Embodiment Construction

[0043] 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.

[0044] On the contrary, the invention covers any alternatives, modifications, equivalent methods and schemes within the spirit and scope of the invention as defined by the claims. Further, in order to make the public have a better understanding of the present invention, some specific details are described in detail in the detailed description of the present invention below. The present invention can be fully understood by those skilled in the art without the description of these detailed parts.

[0045] Such as figure 1 As shown, a user load trend prediction method based on the moving average, wh...

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Abstract

The invention discloses a user load trend prediction method based on a moving average line, and belongs to the technical field of electric power. Existing power load data are fragmented and discretized, the correlation degree is not high, the power load change trend cannot be accurately reflected, and meanwhile the power load change trend cannot be visually displayed to the public. According to the method, power consumption load data of a power customer is taken as a research object, a moving average is taken as a core algorithm, a technical index is constructed for historical load data to generate a prediction model, and the prediction model is displayed in a graphical mode. The discrete power load data are integrated through the moving average line, the existing data can be deeply integrated through description in a formula function mode, the power potential is mined, and data support is laid for improvement of power development from simple accumulation of a simple number to efficiency.

Description

technical field [0001] The invention relates to a user load trend prediction method based on a moving average, and belongs to the technical field of electric power. Background technique [0002] With the rapid development of the digital information age, the power system has accumulated a large amount of user-collected data after years of informatization construction. With the construction of a new generation of intelligent power systems in full swing, the rapid development of smart grids has enabled information and communication technologies to rapidly integrate with grid production and enterprise management in an unprecedented breadth and depth. Information and communication systems have become the "central nerve" of smart grids , to support the development of a new generation of power grid production and management. If we can make full use of these actual grid-based data and conduct in-depth analysis on them, we can provide a large number of high value-added services. Th...

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06
CPCG06Q10/04G06Q10/06315G06Q10/0639G06Q50/06
Inventor 陈吉奂王伟峰赵启明刘欢谢知寒杨宁周济舟韩吉叶菁
Owner STATE GRID ZHEJIANG ELECTRIC POWER
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