Artificial NARX Neural Network Model of Wind Speed: Case of Istanbul-Avcilar
Author:
Funder
Bilimsel Araştirma Projeleri Birimi, Istanbul Üniversitesi-Cerrahpasa
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering
Link
https://link.springer.com/content/pdf/10.1007/s42835-021-00763-z.pdf
Reference19 articles.
1. Ouyang T, Zha X, Qin L (2017) A combined multivariate model for wind power prediction. Energy Convers Manag 144:361–373. https://doi.org/10.1016/j.enconman.2017.04.077
2. Fazelpour F, Tarashkar N, Rosen MA (2016) Short-term wind speed forecasting using artificial neural networks for Tehran, Iran. Int J Energy Environ Eng 7(4):377–390. https://doi.org/10.1007/s40095-016-0220-6
3. Kishore GR, Prema V, Rao KU (2014) Multivariate wind power forecast using artificial neural network. Paper presented at 2014 IEEE global humanitarian technology conference-South Asia satellite (GHTC-SAS). pp. 159–163, 2014, DOI: https://doi.org/10.1109/GHTC-SAS.2014.6967576
4. Huang SC, Lo SL, Lin YC (2013) Application of a fuzzy cognitive map based on a structural equation model for the identification of limitations to the development of wind power. Energy Policy 63:851–861. https://doi.org/10.1016/j.enpol.2013.09.012
5. Houssein EH (2017) Particle swarm optimization-enhanced twin support vector regression for wind speed forecasting. J Intell Syst 28(5):905–914. https://doi.org/10.1515/jisys-2017-0378
Cited by 4 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 wind speed forecasting model using nonlinear auto-regressive model optimized by the hybrid chaos-cloud salp swarm algorithm;Energy;2024-07
2. Nonlinear autoregressive with exogeneous input neural network time series model performance: bitcoin price prediction;International Journal of Computational Economics and Econometrics;2024
3. Prediction Method of Tunnel Natural Wind Based on Open-Source Meteorological Parameters;Processes;2023-01-10
4. Pixel-Based Image Processing for CIE Standard Sky Classification through ANN;Complexity;2021-12-20
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