Electric Load Forecasting by Hybrid Self-Recurrent Support Vector Regression Model With Variational Mode Decomposition and Improved Cuckoo Search Algorithm

Electric Load Forecasting by Hybrid Self-Recurrent Support Vector Regression Model With Variational Mode Decomposition and Improved Cuckoo Search Algorithm

Accurate electric load forecasting is critical not only in preventing wasting electricity production but also in facilitating the reasonable integration of clean energy resources. Hybridizing the variational mode decomposition (VMD) method, the chaotic mapping mechanism, and improved meta-heuristic...

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Bibliographic Details
Main Authors: Zichen Zhang, Wei-Chiang Hong, Junchi Li
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Support vector regression
variational mode decomposition
self-recurrent mechanism
tent chaotic mapping function
out-bound-back mechanism
cuckoo search algorithm
Online Access:https://ieeexplore.ieee.org/document/8960371/

Internet

https://ieeexplore.ieee.org/document/8960371/

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