Short-Term Load Forecasting Based on Integration of SVR and Stacking

Short-Term Load Forecasting Based on Integration of SVR and Stacking

Selection of the kernel function by the support vector regression (SVR), for the purposes of load forecasting, is affected by the power load characteristics. The non-ideal SVR with a kernel function has low forecasting accuracy and poor generalization ability. A novel load forecasting method combini...

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Bibliographic Details
Main Authors: Zhenqi Tan, Jing Zhang, Yu He, Ying Zhang, Guojiang Xiong, Ying Liu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
SVR
load forecasting
kernel function
stacking fusion model
k-fold cross validation
improved artificial fish swarm algorithm
Online Access:https://ieeexplore.ieee.org/document/9274433/

Internet

https://ieeexplore.ieee.org/document/9274433/

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