Short-Term Load Forecasting Based on Feature Selection and Combination Model

Short-Term Load Forecasting Based on Feature Selection and Combination Model

A short-term load forecasting method based on feature selection and combination model is proposed. At first, the method divides the feature vectors into two sets according to the individual characteristics. Spearman rank-order correlation coefficient and max-relevance & min-redundancy algorithm...

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Bibliographic Details
Main Authors: Yusong XU, Shanhua ZOU, Xianling LU
Format: Article
Language:zho
Published: State Grid Energy Research Institute 2022-07-01
Series:Zhongguo dianli
Subjects:
short-term load forecasting
support vector regression
shallow neural network
combination model
Online Access:https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202111045
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https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202111045

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