Short‐term wind speed forecasting using wavelet transformation and AdaBoosting neural networks in Yunnan wind farm-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Short‐term wind speed forecasting using wavelet transformation and AdaBoosting neural networks in Yunnan wind farm

Published:2016-07-08 Issue:4 Volume:11 Page:374-381
ISSN:1752-1416
Container-title:IET Renewable Power Generation
language:en
Short-container-title:IET Renewable Power Generation

Author:

Shao Haijian¹²³,Wei Haikun²³,Deng Xing²³,Xing Song⁴

Affiliation:

1. School of Computer Science and EngineeringJiangsu University of Science and TechnologyZhenjiang212003People's Republic of China

2. Department of AutomationSoutheast UniversityNanjing210096People's Republic of China

3. Key Laboratory of Measurement and Control for Complex SystemMinistry of EducationSoutheast UniversityNanjing210096People's Republic of China

4. Department of Information SystemsCalifornia State UniversityLos Angeles90032USA

Funder

Fundamental Research Funds for the Central Universities

Publisher

Institution of Engineering and Technology (IET)

Subject

Renewable Energy, Sustainability and the Environment

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-rpg.2016.0118

Reference23 articles.

1. A review on the young history of the wind power short-term prediction

2. Probabilistic approach for optimal allocation of wind-based distributed generation in distribution systems

3. Distributed Optimization of Dispatch in Sustainable Generation Systems via Dual Decomposition

4. Real time implementation of artificial neural networks‐based controller for battery storage supported wind electric generation;Kurian S.;IET Gener. Transm. Distrib.,2015

Cited by 28 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 working-condition-robust method for two-stage health measurement of rolling bearings based on energy entropy distribution and dynamic adversarial transfer network;Measurement Science and Technology;2023-04-20

2. Anomaly Detection of UAV State Data Based on Single-Class Triangular Global Alignment Kernel Extreme Learning Machine;Computer Modeling in Engineering & Sciences;2023

3. A feature-level degradation measurement method for composite health index construction and trend prediction modeling;Measurement;2023-01

4. Measurement of health evolution tendency for aircraft engine using a data-driven method based on multi-scale series reconstruction and adaptive hybrid model;Measurement;2022-08

5. Ultra‐short‐term PV power prediction model based on HP‐OVMD and enhanced emotional neural network;IET Renewable Power Generation;2022-06-09

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