Short-term load forecasting method based on secondary decomposition and improved hierarchical clustering
Author:
Funder
National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities
Publisher
Elsevier BV
Reference33 articles.
1. Electrical load forecasting models: a critical systematic review;Kuster;Sustain. Cities Soc.,2017
2. A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings;Raza;Renew. Sustain. Energy Rev.,2015
3. A survey on deep learning methods for power load and renewable energy forecasting in smart microgrids;Aslam;Renew. Sustain. Energy Rev.,2021
4. Comprehensive review of load forecasting with emphasis on intelligent computing approaches;Wang;Energy Rep.,2022
5. Short-term electric load prediction using multiple linear regression method;Kim,2018
Cited by 3 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. WITHDRAWN: Short-term Load Forecasting Method Based on LSTM Optimized by the Hybrid Dung Bettle Optimization Algorithm;Results in Engineering;2024-08
2. Enhanced distance-based protection for high impedance faults considering dynamic load modelling;Results in Engineering;2024-06
3. Deriving Input Variables through Applied Machine Learning for Short-Term Electric Load Forecasting in Eskilstuna, Sweden;Energies;2024-05-07
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