Crude oil price forecasting based on internet concern using an extreme learning machine-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Crude oil price forecasting based on internet concern using an extreme learning machine

Published:2018-10 Issue:4 Volume:34 Page:665-677
ISSN:0169-2070
Container-title:International Journal of Forecasting
language:en
Short-container-title:International Journal of Forecasting

Author:

Wang Jue,Athanasopoulos George,Hyndman Rob J.,Wang Shouyang

Funder

Youth Innovation Promotion Association, CAS

National Center for Mathematics and Interdisciplinary Sciences (NCMIS)

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Business and International Management

Reference44 articles.

1. A new intelligent method based on combination of VMD and ELM for short term wind power forecasting;Abdoos;Neurocomputing,2016

2. Oil price shocks and global imbalances: Lessons from a model with trade and financial interdependencies;Allegret;Economic Modelling,2015

3. Symmetry/anti-symmetry phase transitions in crude oil markets;Alvarez-Ramirez;Physica A. Statistical Mechanics and its Applications,2003

4. Google econometrics and unemployment forecasting;Askitas;German Council for Social and Economic Data (RatSWD) Research Notes,2009

5. Google search volume and its influence on liquidity and returns of German stocks;Bank;Financial Markets and Portfolio Management,2011

Cited by 106 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 novel approach to Predict WTI crude spot oil price: LSTM-based feature extraction with Xgboost Regressor;Energy;2024-11

2. A hybrid PM2.5 interval concentration prediction framework based on multi-factor interval decomposition reconstruction strategy and attention mechanism;Atmospheric Environment;2024-10

3. Forecasting house price index with social media sentiment: A decomposition–ensemble approach;Journal of Forecasting;2024-08-20

4. Deep learning systems for forecasting the prices of crude oil and precious metals;Financial Innovation;2024-07-16

5. Electricity consumption prediction based on a dynamic decomposition-denoising-ensemble approach;Engineering Applications of Artificial Intelligence;2024-07

同舟云学术

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