An improved grey model WD-TBGM (1, 1) for predicting energy consumption in short-term
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Energy,Economics and Econometrics,Modeling and Simulation
Link
https://link.springer.com/content/pdf/10.1007/s12667-020-00410-y.pdf
Reference40 articles.
1. Yang, Z.B., Shao, S., Yang, L.L., Miao, Z.: Improvement pathway of energy consumption structure in China’s industrial sector: from the perspective of directed technical change. Energy Econ. 72, 166–176 (2018)
2. Suganthi, L., Samuel, A.A.: Energy models for demand forecasting—a review. Renew. Sustain. Energy Rev. 16, 1223–1240 (2012)
3. Shahbaz, M., Zakaria, M., Shahzad, S.J.H., Mahalik, M.K.: The energy consumption and economic growth nexus in top ten energy-consuming countries: fresh evidence from using the quantile-on-quantile approach. Energy Econ. 71, 282–301 (2018)
4. Wang, X.Y., Luo, D.K., Zhao, X., Sun, Z.: Estimates of energy consumption in China using a self-adaptive multi-verse optimizer-based support vector machine with rolling cross-validation. Energy. 152, 539–548 (2018)
5. Wu, W.Q., Ma, X., Zeng, B., Wang, Y., Cai, W.: Forecasting short-term renewable energy consumption of China using a novel fractional nonlinear grey Bernoulli model. Renew. Energy 140, 70–87 (2019)
Cited by 6 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 local grey model considering fluctuation based on kernel function for energy production prediction;Journal of Cleaner Production;2024-05
2. An optimal wavelet transform grey multivariate convolution model to forecast electricity demand: a novel approach;Grey Systems: Theory and Application;2023-11-14
3. A hybrid intelligent framework for forecasting short-term hourly wind speed based on machine learning;Expert Systems with Applications;2023-03
4. Forecasting of Electrical Energy Consumption in Slovakia;Mathematics;2022-02-12
5. Li-diffusion pathways in Zr2CO2 and Zr2CS2 MXenes using the Bond Valence Sum model;Computational Materials Science;2022-01
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