A Hybrid Seasonal Mechanism with a Chaotic Cuckoo Search Algorithm with a Support Vector Regression Model for Electric Load Forecasting

A Hybrid Seasonal Mechanism with a Chaotic Cuckoo Search Algorithm with a Support Vector Regression Model for Electric Load Forecasting

Providing accurate electric load forecasting results plays a crucial role in daily energy management of the power supply system. Due to superior forecasting performance, the hybridizing support vector regression (SVR) model with evolutionary algorithms has received attention and deserves to continue...

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Bibliographische Detailangaben
Hauptverfasser: Yongquan Dong, Zichen Zhang, Wei-Chiang Hong
Format: Artikel
Sprache:English
Veröffentlicht: MDPI AG 2018-04-01
Schriftenreihe:Energies
Schlagworte:
support vector regression
tent chaotic mapping function
cuckoo search algorithm
seasonal mechanism
load forecasting
Online Zugang:http://www.mdpi.com/1996-1073/11/4/1009

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http://www.mdpi.com/1996-1073/11/4/1009

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