Forecasting electricity consumption: A comparison of regression analysis, neural networks and least squares support vector machines
Author:
Publisher
Elsevier BV
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology
Reference47 articles.
1. World Energy Council–Turkish National Committee (WEC–TNC), energy reports, Ankara, Turkey; 2011 [in Turkish].
2. Turkish Electricity Distribution Company (TEDAS). Annual report, Ankara, Turkey; 2009.3. An application of artificial bee colony algorithm with least squares support vector machine for real and reactive power tracing in deregulated power system;Sulaiman;Int J Electr Power Energy Syst,20124. A least squares support vector machine model for prediction of the next day solar insolation for effective use of PV systems;Ekici;Measurement,20145. Prediction of flashover voltage of insulators using least squares support vector machine with particle swarm optimisation;Bessedik;Electr Pow Syst Res,2013
3. An application of artificial bee colony algorithm with least squares support vector machine for real and reactive power tracing in deregulated power system;Sulaiman;Int J Electr Power Energy Syst,2012
4. A least squares support vector machine model for prediction of the next day solar insolation for effective use of PV systems;Ekici;Measurement,2014
5. Prediction of flashover voltage of insulators using least squares support vector machine with particle swarm optimisation;Bessedik;Electr Pow Syst Res,2013
Cited by 333 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. Forecasting Turkish electricity consumption: A critical analysis of single and hybrid models;Energy;2024-10
2. Random projection enhancement: A Novel method for improving performance of surrogate models;Swarm and Evolutionary Computation;2024-08
3. Nonparametric formulation of polynomial chaos expansion based on least-square support-vector machines;Engineering Applications of Artificial Intelligence;2024-07
4. Energy saving measures in the metro (on the example of bimetallic contact rails);System Research in Energy;2024-07-01
5. A Comparative Analysis of Polynomial Regression and Artificial Neural Networks for Prediction of Lighting Consumption;Buildings;2024-06-07
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