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Short-term power load prediction method based on EWT and LSSVM model

A technology of short-term power load and forecasting method, applied in the field of electric power, can solve problems such as low calculation efficiency and high calculation cost, and achieve the effects of improving prediction accuracy, reducing calculation scale, and solving low calculation efficiency

Inactive Publication Date: 2019-11-22
STATE GRID ANHUI ELECTRIC POWER +2
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Problems solved by technology

[0006] A short-term power load forecasting method based on EWT and LSSVM models proposed by the present invention can solve the technical problems of low calculation efficiency and high calculation cost in existing methods

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  • Short-term power load prediction method based on EWT and LSSVM model
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  • Short-term power load prediction method based on EWT and LSSVM model

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[0020] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments.

[0021] Empirical mode decomposition was proposed by Huang et al. in 1998, which is a method of processing signals by decomposing signals into different natural modes. The obtained mode can reflect the local typical characteristic information of different scale fluctuations or trends of the original signal, so as to smooth the signal. The algorithm is highly adaptable and able to extract non-static parts of the original function. To solve this problem, lumped EMD (EEMD) is proposed. By computing several EMD decompositions of the original signal cor...

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Abstract

The invention discloses a short-term power load prediction method based on an EWT and an LSSVM model. The method can solve the technical problems of low calculation efficiency and high calculation cost of an existing method. The method comprises the following steps: S100, decomposing an original power load sequence by using EWT to obtain IMF components under different frequencies; S200, establishing a load prediction model of each IMF component sequence by using an LSSVM; and S300, adding the prediction results of the load prediction models to obtain a total prediction result. According to themethod, through empirical wavelet transform, the problem of modal aliasing existing in EMD can be solved. Meanwhile, fewer components are obtained through decomposition, and the calculation scale isreduced. The method is a new method of establishing adaptive wavelets that improves prediction accuracy by extracting AM-FM components with compact support Fourier spectra, using EWT to decompose different modalities equivalent to segmenting the Fourier spectra and applying some filtering corresponding to each detected support.

Description

technical field [0001] The invention relates to the field of electric power technology, in particular to a short-term power load forecasting method based on EWT and LSSVM models. Background technique [0002] In order to meet the needs of social development, the power system is becoming more and more important for the reasonable dispatch of electric energy. Short-term load forecasting is the cornerstone of reasonable planning and operation of the power grid. Accurate load forecasting can maximize the use of electric energy, avoid unnecessary waste of resources, and alleviate the imbalance between supply and demand. [0003] With the increasing dependence of people on the use of electric energy and the rapid development of modern information technology, the research on load forecasting at home and abroad has gradually deepened. In recent years, a variety of forecasting methods have appeared, such as artificial neural network method, time series method based on mathematical s...

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06G06K9/62G06F17/14G06F17/11
CPCG06Q10/04G06Q50/06G06F17/148G06F17/11G06F18/2411
Inventor 马金辉李智赵晓春李顺丁津津张倩马愿
Owner STATE GRID ANHUI ELECTRIC POWER
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