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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[0004] In view of this, the embodiment of the present invention provides a power load forecasting method, device and terminal

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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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[0019] In the following description, specific details such as specific system structures, techniques such as specific system structures, and techniques are proposed to illustrate the embodiments of the present invention. However, those skilled in the art will appreciate that the present invention can also be implemented in other embodiments without these specific details. In other cases, detailed description of well known systems, devices, circuits, and methods is omitted to prevent unnecessary details to prevent the description of the present invention.

[0020] In order to illustrate the technical solution of the present invention, the following will be described below.

[0021] figure 1 A power load prediction method according to an embodiment of the present invention is shown, see figure 1 In some embodiments of the invention, the power load prediction method can include:

[0022] S101, obtain the original data set, and preprocessing the original data set to obtain a pre-proc...

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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...

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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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