Multi-step least squares support vector machine modeling approach for forecasting short-term electricity demand with application
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-020-04996-3.pdf
Reference59 articles.
1. Fan S, Chen LN (2006) Short-term load forecasting based on an adaptive hybrid method. IEEE Trans Power Syst 21(1):392–401
2. Ying LC, Pan MC (2008) Using adaptive network based fuzzy inference system to forecast regional electricity loads. Energy Convers Manag 49(2):205–211
3. Wang X, Yang LT, Liu H, Deen MJ (2018) A big data-as-a-service framework: state-of-the-art and perspectives. IEEE Trans Big Data 4(3):325–340
4. Meadea N, Islam T (2015) Modelling European usage of renewable energy technologies for electricity generation. Technol Forecast Soc Change 90(Part B):497–509
5. Song M, Du Q, Zhu Q (2017) A theoretical method of environmental performance evaluation in the context of big data. Prod Plan Control 28(11–12):976–984
Cited by 26 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. RFM user value tags and XGBoost algorithm for analyzing electricity customer demand data;Systems and Soft Computing;2024-12
2. Short-term electric load forecasting using empirical mode decomposition based optimized extreme learning machine;Evolving Systems;2024-08-14
3. Driving analysis and prediction of COD based on frequency division;2024-08-05
4. Application of a Hybrid Improved Particle Swarm Algorithm for Prediction of Cutting Energy Consumption in CNC Machine Tools;International Journal of Control, Automation and Systems;2024-05-29
5. Hybrid Metaheuristic Algorithms for Optimization of Countrywide Primary Energy: Analysing Estimation and Year-Ahead Prediction;Energies;2024-04-02
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