An ensemble multi-step M-RMLSSVR model based on VMD and two-group strategy for day-ahead short-term load forecasting
Author:
Funder
National Natural Science Foundation of China
Publisher
Elsevier BV
Subject
Artificial Intelligence,Information Systems and Management,Management Information Systems,Software
Reference47 articles.
1. Ensemble incremental learning random vector functional link network for short-term electric load forecasting;Qiu;Knowl.-Based Syst.,2018
2. Multi-temporal-spatial-scale temporal convolution network for short-term load forecasting of power systems;Yin;Appl. Energy,2021
3. A novel decomposition-ensemble model for forecasting short-term load-time series with multiple seasonal patterns;Zhang;Appl. Soft Comput.,2018
4. Forecasting methods in energy planning models;Debnath;Renew. Sustain. Energy Rev.,2018
5. Application of variational mode decomposition and chaotic grey wolf optimizer with support vector regression for forecasting electric loads;Zhang;Knowl.-Based Syst.,2021
Cited by 32 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. A synchronized multi-step wind speed prediction with adaptive features and parameters selection: Insights from an interaction model;Expert Systems with Applications;2024-12
2. MFTM-Informer: A multi-step prediction model based on multivariate fuzzy trend matching and Informer;Information Sciences;2024-10
3. Multistep power load forecasting using iterative neural network-based prediction intervals;Computers and Electrical Engineering;2024-10
4. Research on semi-supervised soft sensor modeling method for sulfur recovery unit based on ISSA-VMD-ESN;Chemical Engineering Science;2024-10
5. Minute-level ultra-short-term power load forecasting based on time series data features;Applied Energy;2024-10
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