Empirical Mode Decomposition based Multi-objective Deep Belief Network for short-term power load forecasting
Author:
Funder
National Natural Science Foundation of China
Publisher
Elsevier BV
Subject
Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications
Reference39 articles.
1. Finite element model updating using simulated annealing hybridized with unscented Kalman filter;Astroza;Comput. Struct.,2016
2. Long-term system load forecasting based on data-driven linear clustering method;Li;J. Mod. Power Syst. Clean Energy,2018
3. Least-squares cross-wavelet analysis and its applications in geophysical time series;Ghaderpour;J. Geodyn.,2018
4. Leveraging accuracy-uncertainty tradeoff in SVM to achieve highly accurate outage predictions;Rozhin;IEEE Trans. Power Syst.,2018
5. Domain space transfer extreme learning machine for domain adaptation;Chen;IEEE Trans. Cybern.,2018
Cited by 65 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. Short-term power load forecasting based on Seq2Seq model integrating Bayesian optimization, temporal convolutional network and attention;Applied Soft Computing;2024-11
2. Two-stage forecasting of TCN-GRU short-term load considering error compensation and real-time decomposition;Earth Science Informatics;2024-08-26
3. A novel hybrid model based on Empirical Mode Decomposition and Echo State Network for wind power forecasting;Energy;2024-08
4. Enhancing interval-valued time series forecasting through bivariate ensemble empirical mode decomposition and optimal prediction;Engineering Applications of Artificial Intelligence;2024-07
5. Two-stage forecasting of TCN-GRU short-term load considering error compensation and real-time decomposition;2024-06-13
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