Incremental SVR load prediction method based on representative data reconstruction

Incremental SVR load prediction method based on representative data reconstruction

  • CN 105,809,286 B
  • Filed: 03/08/2016
  • Issued: 08/03/2021
  • Est. Priority Date: 03/08/2016
  • Status: Active Grant
First Claim
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1. An incremental SVR load prediction method based on representative data reconstruction is characterized by comprising the following steps:

  • s1, analyzing historical power load data by using phase space reconstruction to obtain the embedding dimension and time delay of the power load data and obtain multi-input-single-output mode data;

    s2, modeling historical power load data by using support vector regression by using an optimal training subset method and a particle swarm method to obtain power load representative data and support vector regression model parameters, and acquiring a power load prediction result at the moment according to the representative data and the support vector regression model parameters;

    the S2 includes;

    the initial power load representative data set is selected from the following formula;

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