Power consumption prediction method and system based on features and trend perception

A forecasting method and technology of electricity consumption, applied in forecasting, neural learning methods, data processing applications, etc., can solve the problems of low accuracy of electricity forecasting, failure to take into account the characteristic factors of electricity consumption, and achieve the realization of user electricity consumption. Quantitative state prediction and the effect of improving accuracy

CN113449919AActive Publication Date: 2021-09-28STATE GRID SHANDONG ELECTRIC POWER +1
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
Publication Date
2021-09-28

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Abstract

The invention provides a power consumption prediction optimization method and system based on features and trend perception. The method comprises the steps of obtaining historical power data of a to-be-predicted user; based on the historical power data, using a pre-trained power consumption prediction model to predict the power consumption of the user; the training method of the power consumption prediction model specifically comprises the following steps: based on historical power training data, separately extracting power consumption features and a power consumption change trend, and training a feature-based power consumption prediction model and a trend-based power consumption prediction model to obtain a first prediction vector and a second prediction vector; and by combining the first prediction vector and the second prediction vector, finishing the training of a final power consumption prediction model by using a weight recombination method. The power consumption is predicted from the two aspects of the change trend of the historical power consumption of the user and the influence of the feature factors on the power consumption, and the prediction precision is higher.
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Description

technical field

[0001] The invention relates to the field of intelligent power consumption, in particular to a method and system for predicting power consumption based on feature and trend perception. Background technique

[0002] With the continuous development of the smart grid, electricity forecasting plays an increasingly important role in the development of the electricity market. The quality of prediction performance is the basis for ensuring the accurate and reliable operation of the power grid system; at the same time, it can avoid resource waste and improve economic benefits in the process of power grid dispatching. Therefore, how to improve the accuracy of power forecasting based on historical power data is of great significance for making more economical power generation plans and analyzing power market demand.

[0003] In the traditional forecasting method, the power forecasting model based on time series realizes the prediction of the user's power consumption. ...

Examples

Embodiment 2

[0133] The purpose of this embodiment is to provide a power consumption prediction system based on feature and trend perception.

[0134] Based on the above purpose, this embodiment provides a power consumption prediction system based on feature and trend perception, including:

[0135] A data acquisition module configured to acquire historical power data of users to be predicted;

[0136] The electricity consumption prediction module is configured to use a pre-trained electricity consumption prediction model to predict the electricity consumption of the user based on the historical power data; wherein, the training method of the electricity consumption prediction model specifically includes:

[0137] Based on the historical electric power training data, respectively extract the power consumption characteristics and the power consumption change trend, train the feature-based power consumption prediction model and the trend-based power consumption prediction model, and obtain t...

Embodiment 3

[0140] The purpose of this embodiment is to provide an electronic device.

[0141] Based on the above purpose, this embodiment provides an electronic device, including a memory, a processor, and a computer program stored on the memory and operable on the processor. the method described.

Embodiment 4

[0143] The purpose of this embodiment is to provide a computer-readable storage medium.

[0144] Based on the above purpose, this embodiment provides a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the method as described in Embodiment 1 is implemented.

[0145] Those skilled in the art should understand that the embodiments of the present disclosure may be provided as methods, systems, or computer program products. Accordingly, the present disclosure may take the form of a hardware embodiment, a software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present disclosure may take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, optical storage, etc.) having computer-usable program code embodied therein.