Data-driven sustainable intelligent manufacturing based on demand response for energy-intensive industries-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Data-driven sustainable intelligent manufacturing based on demand response for energy-intensive industries

Published:2020-11 Issue: Volume:274 Page:123155
ISSN:0959-6526
Container-title:Journal of Cleaner Production
language:en
Short-container-title:Journal of Cleaner Production

Author:

Ma Shuaiyin,Zhang Yingfeng,Liu Yang,Yang Haidong,Lv Jingxiang,Ren Shan

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

111 Project

Northwestern Polytechnical University

FlexSUS: Flexibility for Smart Urban Energy Systems

Horizon 2020 research and innovation programme

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Strategy and Management,General Environmental Science,Renewable Energy, Sustainability and the Environment

Reference67 articles.

1. Identification of reservation capacity in critical peak pricing electricity demand response program for sustainable manufacturing systems;Bego;Int. J. Energy Res.,2014

2. A total life cycle cost model (TLCCM) for the circular economy and its application to post-recovery resource allocation;Bradley;Resour. Conserv. Recycl.,2018

3. Reused second life batteries for aggregated demand response services;Canals Casals;J. Clean. Prod.,2019

4. Integrated electricity and natural gas demand response for manufacturers in the smart grid;Dababneh;IEEE Trans. Smart Grid,2019

5. When titans meet – can industry 4.0 revolutionise the environmentally-sustainable manufacturing wave? The role of critical success factors;de Sousa Jabbour;Technol. Forecast. Soc. Change,2018

Cited by 133 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 comprehensive overview of industrial demand response status in Europe;Renewable and Sustainable Energy Reviews;2024-10

2. Edge-cloud collaboration-driven predictive planning based on LSTM-attention for wastewater treatment;Computers & Industrial Engineering;2024-09

3. Exploring Antecedents, Consequences, Research Constituents and Future Directions of Circular Economy: A Predictive Analysis in the Preview of Text Mining;Journal of the Knowledge Economy;2024-08-20

4. Industry 4.0 and cleaner production: A comprehensive review of sustainable and intelligent manufacturing for energy-intensive manufacturing industries;Journal of Cleaner Production;2024-08

5. Modular Digital Twin – an approach for generating and exploiting product sustainability information towards service-oriented business models;International Journal of Production Research;2024-07-22

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