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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Auteurs principaux:	Yongquan Dong, Zichen Zhang, Wei-Chiang Hong
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2018-04-01
Collection:	Energies
Sujets:	support vector regression tent chaotic mapping function cuckoo search algorithm seasonal mechanism load forecasting
Accès en ligne:	http://www.mdpi.com/1996-1073/11/4/1009
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