Fixed-size Least Squares Support Vector Machines: A Large Scale Application in Electrical Load Forecasting

Author:

Espinoza Marcelo,Suykens Johan A. K.,Moor Bart De

Publisher

Springer Science and Business Media LLC

Subject

Information Systems,Management Information Systems

Reference33 articles.

1. Björkstrom A, Sundberg R (1999) A Generalized view on continuum regression. Scand J Stat 26:17–30

2. Bunn D (2000) Forecasting load and prices in competitive power markets. Invited paper, Proc IEEE 88(2): 163–169

3. Chen BJ, Chang MW, Lin CJ (2002) Load forecasting using support vector machines: a study on EUNITE competition 2001. Technical report, Department of computer science and information engineering, National Taiwan University, Taipei Taiwan

4. Cristianini N, Shawe-Taylor J (2000) An introduction to support vector machines. Cambridge University Press, London

5. Engle R, Granger CJ, Rice J, Weiss A (1986) Semiparametric estimates of the relation between weather and electricity sales. J Am Stat Assoc 81:394, 310–320

Cited by 64 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Apparent Resistivity Variation Imaging Method Based on Magnetic Field Gradient by NGO-LSSVM for the Ground-Airborne Frequency-Domain Electromagnetic Method;Applied Sciences;2024-04-24

2. Comparative performance analysis of epsilon-insensitive and pruningbased algorithms for sparse least squares support vector regression;Sigma Journal of Engineering and Natural Sciences – Sigma Mühendislik ve Fen Bilimleri Dergisi;2024

3. Learning With Asymmetric Kernels: Least Squares and Feature Interpretation;IEEE Transactions on Pattern Analysis and Machine Intelligence;2023-08

4. Slope stability prediction based on adaptive CE factor quantum behaved particle swarm optimization-least-square support vector machine;Frontiers in Earth Science;2023-02-08

5. Application of QPSO-LSSVM in tunnel surrounding rocks deformation prediction;2022 8th International Conference on Hydraulic and Civil Engineering: Deep Space Intelligent Development and Utilization Forum (ICHCE);2022-11-25

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3