Design and evaluation of a hybrid forecasting system for electric power consumption using intelligent parameter tuning and nonlinear data modeling

Accurate prediction of electricity consumption is a complex, nonlinear task, and traditional linear, fixed-parameter models often fail to capture dynamic demand patterns. To overcome these challenges, this study proposes an innovative hybrid forecasting framework that integrates Support Vector Regre...

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Bibliografische gegevens

Hoofdauteurs:	Jiayu Xiong, Shigang Zhu, Xin Ning, Xiaojun Niu, Mu Lin, Qiang Yang
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	KeAi Communications Co., Ltd. 2026-07-01
Reeks:	Green Technologies and Sustainability
Onderwerpen:	Power electricity consumption Hybrid method SVR Meta-heuristic algorithms Hyper-parameters
Online toegang:	http://www.sciencedirect.com/science/article/pii/S2949736126000357
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