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A method and device for forecasting electric load

A technology of electricity load and prediction method, applied in the direction of electric digital data processing, special data processing applications, instruments, etc., can solve the problem that the prediction accuracy cannot be effectively guaranteed, and achieve the effect of improving accuracy and generalization ability

Active Publication Date: 2018-05-15
YANGJIANG POWER SUPPLY BUREAU OF GUANGDONG POWER GRID
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Problems solved by technology

[0002] In the existing technology, for different enterprise objects, the expected power load model for a certain period of time in the future is usually unified, but in fact, due to the significant correlation between the power load of different enterprises and different factors and different factors For example, the electricity consumption of weather-sensitive enterprises is usually very related to weather factors, while the electricity consumption of other types of enterprises may not be related to weather factors at all. Therefore, the prediction accuracy obtained cannot be effectively guaranteed

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  • A method and device for forecasting electric load
  • A method and device for forecasting electric load
  • A method and device for forecasting electric load

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Embodiment Construction

[0027] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0028] Before discussing the exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although the flowcharts describe operations as sequential processing, many of the operations may be performed in parallel, concurrently, or simultaneously. In addition, the order of operations can be rearranged. The process may be terminated when its operations are complete, but may also have additional steps not included in the figure. The processing may correspond to a method, function, procedure, subroutine, subroutine, or the like.

[0029] The methods discussed below, some of which are illustrated by flowcharts, can be implemented by hardware, software, firmware, middleware, microcode, hardware description languages, or any combination thereof. When implemented in softwa...

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Abstract

The present invention provides a prediction method and a prediction device for electricity load, wherein the prediction method includes: based on the collected historical electricity consumption data and historical data of multi-dimensional factors related to electricity consumption, judging the size of the object whose electricity consumption is to be predicted. type; for a given period to be predicted for the electricity load, determine the period type of the to-be-predicted period; determine the type of the specific historical sampling sample corresponding to the object and the period type; determine the type of the object Corresponding kernel function of the multi-resolution support vector machine prediction model to be trained; training the corresponding multi-resolution support vector machine prediction model; the data of the sample of the same type as the specific historical sampling sample to be collected during a specific period Input to the multi-resolution support vector machine prediction model to predict the electricity load of the object during the to-be-predicted period. The embodiments of the present invention can effectively improve the prediction accuracy of the power consumption load of the enterprise in the short term in the future.

Description

technical field [0001] The invention relates to the field of electricity consumption, in particular to a method and device for predicting electricity load. Background technique [0002] In the existing technology, for different enterprise objects, the expected power load model for a certain period of time in the future is usually unified, but in fact, due to the significant correlation between the power load of different enterprises and different factors and different factors For example, the electricity consumption of weather-sensitive enterprises is usually very related to weather factors, while the electricity consumption of other types of enterprises may not be related to weather factors at all. Therefore, the prediction accuracy obtained cannot be effectively guaranteed. Contents of the invention [0003] One of the purposes of the present invention is to effectively improve the accuracy of forecasting the electricity loads of different enterprises in the short term ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/00
Inventor 李冉冉邓国明林厉烽陈文生梁伟何平林显仕
Owner YANGJIANG POWER SUPPLY BUREAU OF GUANGDONG POWER GRID