Generation hybrid forecasting for frequency-modulation hydropower station based on improved EEMD and ANN adaptive switching-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Generation hybrid forecasting for frequency-modulation hydropower station based on improved EEMD and ANN adaptive switching

Published:2022-03-12 Issue:5 Volume:104 Page:2949-2966
ISSN:0948-7921
Container-title:Electrical Engineering
language:en
Short-container-title:Electr Eng

Author:

Zhang Shuai,Chen Shi-Jun,Ma Guang-wen,Huang Wei-bin,Li Bin

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Electrical and Electronic Engineering

Link

https://link.springer.com/content/pdf/10.1007/s00202-022-01526-3.pdf

Reference54 articles.

1. Meng L et al (2020) Fast frequency response from energy storage systems—a review of grid standards, projects and technical issues. IEEE Trans Smart Grid 11(2):1566–1581

2. Zhang D et al (2017) Present situation and future prospect of renewable energy in China. Renew Sustain Energy Rev 76:865–871

3. Wu X, Xu Y, Liu J, Lv C, Zhou J, Zhang Q (2019) Characteristics analysis and fuzzy fractional-order PID parameter optimization for primary frequency modulation of a pumped storage unit based on a multi-objective gravitational search algorithm. Energies 13(1):137

4. Su C, Yuan W, Cheng C, Wang P, Sun L, Zhang T (2020) Short-term generation scheduling of cascade hydropower plants with strong hydraulic coupling and head-dependent prohibited operating zones. J Hydrol 591:125556

5. Liao S, Zhang Y, Liu B, Liu Z, Fang Z, Li S (2020) Short-term peak-shaving operation of head-sensitive cascaded hydropower plants based on spillage adjustment. Water 12(12):3438

Cited by 3 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. Flood Forecasting Method Based on Improved VMD-FOS-QR-RBL;IEEE Access;2023

2. Machine Learning Approaches to Predict Electricity Production from Renewable Energy Sources;Energies;2022-12-02

3. Prediction Model of Hydropower Generation and Its Economic Benefits Based on EEMD-ADAM-GRU Fusion Model;Water;2022-11-30

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