Applications of Hybrid EMD with PSO and GA for an SVR-Based Load Forecasting Model

Providing accurate load forecasting plays an important role for effective management operations of a power utility. When considering the superiority of support vector regression (SVR) in terms of non-linear optimization, this paper proposes a novel SVR-based load forecasting model, namely EMD-PSO-GA...

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Bibliografski detalji

Glavni autori:	Guo-Feng Fan, Li-Ling Peng, Xiangjun Zhao, Wei-Chiang Hong
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2017-10-01
Serija:	Energies
Teme:	support vector regression empirical mode decomposition (EMD) particle swarm optimization (PSO) genetic algorithm (GA) load forecasting
Online pristup:	https://www.mdpi.com/1996-1073/10/11/1713
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