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Power load prediction method, device and terminal

A technology of power load and forecasting method, which is applied in the field of power system load forecasting, can solve the problems of not considering the timing of power load and inaccurate forecasting, and achieve the effect of ensuring stable economic operation and accurate forecasting.

Pending Publication Date: 2021-10-29
国网河北省电力有限公司营销服务中心 +2
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Problems solved by technology

[0004] In view of this, the embodiment of the present invention provides a power load forecasting method, device and terminal to solve the problem that the prior art does not consider the timing of the power load and the forecast is not accurate enough

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  • Power load prediction method, device and terminal
  • Power load prediction method, device and terminal
  • Power load prediction method, device and terminal

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Embodiment Construction

[0019] In the following description, specific details such as specific system structures and technologies are presented for the purpose of illustration rather than limitation, so as to thoroughly understand the embodiments of the present invention. It will be apparent, however, to one skilled in the art that the invention may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.

[0020] In order to illustrate the technical solutions of the present invention, specific examples are used below to illustrate.

[0021] figure 1 A power load forecasting method provided by an embodiment of the present invention is shown, see figure 1 , in some embodiments of the present invention, the power load forecasting method may include:

[0022] S101. Obtain an original data set, and pr...

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Abstract

The invention is suitable for the technical field of power system load prediction, and provides a power load prediction method and device and a terminal.The power load prediction method comprises the steps that an original data set is acquired, and the original data set is preprocessed to obtain a preprocessed data set; wherein the original data set comprises historical load data, environment data and time data; and based on a random forest algorithm model and a pre-trained LSTM neural network prediction model, predicting the preprocessed data set to obtain a power load prediction value. The power load prediction is more accurate, and the economic and stable operation of the power grid can be ensured.

Description

technical field [0001] The invention belongs to the technical field of power system load forecasting, and in particular relates to a power load forecasting method, device and terminal. Background technique [0002] The main task of the power system is to provide users with electric energy that can meet the quality standards, and it needs to meet the electricity demand of various loads in the society. Its stable operation needs to dynamically balance the power generation and load changes in real time. However, it is difficult to realize a large amount of electric energy storage at present, and the load fluctuation has obvious nonlinearity and randomness. Therefore, it is necessary to accurately predict the electric load, so as to reasonably allocate the electric load and ensure the economical and stable operation of the power grid. [0003] At present, artificial intelligence methods can better fit nonlinear data. Most of the existing power loads are predicted by BP neural ne...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06G06K9/62G06N3/04H02J3/00
CPCG06Q10/04G06Q50/06H02J3/003G06N3/044G06F18/24323
Inventor 刘林青付文杰申洪涛杨迪史轮李飞岳凡丁
Owner 国网河北省电力有限公司营销服务中心
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