A projection neural network for optimal demand response in smart grid environment-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A projection neural network for optimal demand response in smart grid environment

Published:2016-08-20 Issue:6 Volume:29 Page:259-267
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Yao Yao,He Xing,Huang Tingwen,Li Chaojie,Xia Dawen

Funder

Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/article/10.1007/s00521-016-2532-0/fulltext.html

Reference38 articles.

1. Albadi MH, El-Saadany EF (2008) A summary of demand response in electricity markets. Electr Power Syst Res 78(11):1989–1996

2. Wang Z, Leng Y, Wu Q (2015) Review of smart grid demand response with clean energy access. Chin J Power Sources 39(8):1798–1800

3. Aghaei J, Alizadeh MI (2013) Demand response in smart electricity grids equipped with renewable energy sources: a review. Renew Sustain Energy Rev 18:64–72

4. Aalami HA, Moghaddam MP, Yousefi GR (2010) Demand response modeling considering interruptible/curtailable loads and capacity market programs. Appl Energy 87(1):243–250

5. Rahimi F, Ipakchi A (2010) Demand response as a market resource under the smart grid paradigm. IEEE Trans Smart Grid 1(1):82–88

Cited by 10 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. Demand-Response Prediction in Smart Grids Using Machine Learning Techniques;2024 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT);2024-02-19

2. Very Short-Term Solar Irradiance Forecasting using Multilayered Long-Short Term Memory;2022 7th International Conference on Smart and Sustainable Technologies (SpliTech);2022-07-05

3. Distributed Neural Network and Particle Swarm Optimization for Micro-grid Adaptive Power Allocation;Neural Processing Letters;2022-02-22

4. Blockchain enhanced price incentive demand response for building user energy network in sustainable society;Sustainable Cities and Society;2021-05

5. A neurodynamic algorithm to optimize residential demand response problem of plug-in electric vehicle;Neurocomputing;2020-09

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