Power load prediction method based on periodic automatic encoder

An automatic encoder and electric load technology, which is applied in forecasting, instrumentation, data processing applications, etc., can solve the problem of low forecasting accuracy and achieve the effect of improving forecasting accuracy

Pending Publication Date: 2021-10-08
SHANGHAI MUNICIPAL ELECTRIC POWER CO +1
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Problems solved by technology

[0005] However, when forecasting power load at the individual level, due to the high volatility and uncertainty of the global full load at this level, the existing forecasting methods are often unable to overcome it, resulting in low forecasting accuracy

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  • Power load prediction method based on periodic automatic encoder
  • Power load prediction method based on periodic automatic encoder
  • Power load prediction method based on periodic automatic encoder

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Embodiment Construction

[0069] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments. This embodiment is carried out on the premise of the technical solution of the present invention, and detailed implementation and specific operation process are given, but the protection scope of the present invention is not limited to the following embodiments.

[0070] A method for electric load forecasting based on periodic autoencoders, such as Figure 4 ,include:

[0071] 1) Collect the power load data of each station area to form a historical power time series;

[0072] 2) Preprocess the historical power time series, reconstruct the historical power time series through the trained periodic autoencoder PAE, and generate the embedded sequence of the historical power time series;

[0073] 3) Input the generated embedded sequence into the trained predictor to obtain the predicted power load sequence data;

[0074] Historical Power Time Ser...

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Abstract

The invention relates to a power load prediction method based on a periodic automatic encoder, and the method comprises the steps: collecting the power load data of each transformer area, and forming a historical power time sequence; preprocessing the historical power time sequence, reconstructing the historical power time sequence through the trained periodic automatic encoder, and generating an embedded sequence of the historical power time sequence; and inputting the embedded sequence of the historical power time sequence into the trained predictor to obtain predicted power load sequence data. Compared with the prior art, the method has the advantages of high prediction precision and the like.

Description

technical field [0001] The invention relates to a power load forecasting method, in particular to a power load forecasting method based on a periodic automatic encoder. Background technique [0002] With the development of economy and technology and the improvement of people's living standards, electric energy has become an indispensable secondary energy source in people's production and life, bringing endless convenience to people's production and life. [0003] With the frequent occurrence of extreme weather and people's higher and higher requirements for living standards and quality of life, people's demand for electricity is also increasing. With the increase of household electricity consumption, distribution transformers are heavily overloaded, especially in winter, and the load peak-to-valley difference is large. Especially during the Spring Festival, the electricity consumption level of residents has reached 100% in a year. The highest peak, prone to serious overload...

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06
Inventor 田英杰朱征谢伟张琪祁时志雄苏运郭乃网李凡吴裔赵莹莹张菲菲阮静娴金妍斐
Owner SHANGHAI MUNICIPAL ELECTRIC POWER CO
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