A quadratic $$\nu $$ ν -support vector regression approach for load forecasting

A quadratic $$\nu $$ ν -support vector regression approach for load forecasting

Abstract This article focuses on electric load forecasting, which is a challenging task in the energy industry. In this paper, a novel kernel-free $$\nu $$ ν -support vector regression model is proposed for electric load forecasting. The proposed model produces a reduced quadratic surface for nonlin...

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Bibliographic Details
Main Authors: Yanhe Jia, Shuaiguang Zhou, Yiwen Wang, Fengming Lin, Zheming Gao
Format: Article
Language:English
Published: Springer 2025-01-01
Series:Complex & Intelligent Systems
Subjects:
Kernel-free support vector regression
Electric load forecasting
Machine learning
Weighted support vector regression
Feature weighting
Online Access:https://doi.org/10.1007/s40747-024-01730-7
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https://doi.org/10.1007/s40747-024-01730-7

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