Cnversion fitting method of power-on transaction curve and 3D visual display platform

A curve and transaction technology, applied in the field of virtual power transaction data processing, can solve the problems of slow fitting of electricity transaction curves, lack of objective standards, and failure to reflect real transactions, etc., and achieve clear algorithms, easy software programming, and simple processing procedures Effect

Active Publication Date: 2020-10-02
WUHAN OPTICS VALLEY INFORMATION TECH
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Problems solved by technology

[0004] Aiming at the technical problems existing in the prior art, such as slow fitting of electricity transaction curves, failure to reflect real transactions, lack of objective standards, etc., the present invention provides a currency exchange fitting method for electricity transaction curves

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  • Cnversion fitting method of power-on transaction curve and 3D visual display platform
  • Cnversion fitting method of power-on transaction curve and 3D visual display platform
  • Cnversion fitting method of power-on transaction curve and 3D visual display platform

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Embodiment Construction

[0035] The principles and features of the present invention are described below in conjunction with the accompanying drawings, and the examples given are only used to explain the present invention, and are not intended to limit the scope of the present invention.

[0036] refer to figure 1 , the purpose of the first aspect of the present invention is to provide a method for fitting electricity exchange curves, including the following steps: S100. Taking the change of the real-time price of electricity relative to the initial price as a dependent variable, the transaction time interval, the total amount of subscriptions Electricity is used as the first type of independent variable to determine the multiple linear regression equation; S105. Select multiple second type of independent variables and multiple decay constants to replace the first type of independent variables, and the multiple second type of independent variables Respectively characterize the level, slope, and curva...

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Abstract

The invention relates to a conversion fitting method of a power-on transaction curve and a 3D visual display platform, and the method comprises the following steps: taking the change of a real-time price of electric power relative to an initial price as a dependent variable, and taking a transaction time interval and subscribed total electric quantity as a first type of independent variables to determine a multiple linear regression equation; selecting a plurality of second-class independent variables and a plurality of attenuation constants to carry out element changing on the first-class independent variables, wherein the plurality of second-class independent variables represent the levelness, slope and curvature of the electricity-giving transaction curve respectively; adjusting the plurality of attenuation constants, substituting the plurality of second-class independent variables into the multiple linear regression equation, and calculating a corresponding fitting degree; and taking the result with the highest fitting degree as an output value and substituting the output value into the multivariate linear regression equation to obtain an electricity yielding transaction curve.The transaction curve fitted by the method can adapt to multiple scenes, has obvious advantages in accuracy and speed, and is simple and convenient in processing process and easy to expand.

Description

technical field [0001] The invention relates to the field of virtual power transaction data processing, in particular to a method for exchanging element fitting of power transaction curves and a 3D visualization display platform. Background technique [0002] At present, according to the existing power industry research, the vast majority of power operators usually adopt three traditional methods to fit the power trading curve: 1 preset the shape of the power trading curve, such as natural logarithmic curve, exponential curve , to perform normative pseudo-fitting of the curve shape; 2. Directly set multiple variables that affect the transaction and their high powers, and perform polynomial-based linear regression fitting on the electricity transaction curve; 3. Analyze the electricity transaction curve Segment linear regression fitting, and then splicing by interpolation method to reflect its nonlinear changes. [0003] According to the above introduction, the traditional f...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q30/06G06Q50/06G06T17/00G06F17/15G06F17/16
CPCG06F17/15G06F17/16G06Q10/04G06Q30/0607G06Q50/06G06T17/00
Inventor 郭晓麟
Owner WUHAN OPTICS VALLEY INFORMATION TECH
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