Ultra‐short‐term wind speed forecasting method based on spatial and temporal correlation models-Reference-Cited by-同舟云学术

Ultra‐short‐term wind speed forecasting method based on spatial and temporal correlation models

Published:2017-01 Issue:13 Volume:2017 Page:1071-1075
ISSN:2051-3305
Container-title:The Journal of Engineering
language:en
Short-container-title:J. eng.

Author:

Haiqiang Zhou¹,Yusheng Xue²³,Jizhu Guo¹,Jiehui Chen¹

Affiliation:

1. Energy and Electrical Engineering SchoolHohai UniversityNanjing 211100Jiangsu ProvincePeople's Republic of China

2. NARI Group Corporation (State Grid Electric Power Research Institute)Nanjing 211106People's Republic of China

3. State Key Laboratory of Smart Grid Protection and ControlNanjing 211106People's Republic of China

Publisher

Institution of Engineering and Technology (IET)

Subject

General Engineering,Energy Engineering and Power Technology,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/joe.2017.0494

Reference26 articles.

1. Review on wind power prediction based on spatial correlation approach;Ye L.;Autom. Electr. Power Syst.,2014

2. A review on short‐term and ultra‐short‐term wind power prediction;Xue Y.;Autom. Electr. Power Syst.,2015

3. A summary of the state of the art for short‐term and ultra‐short‐term wind power prediction of regions;Peng X.;Proc. CSEE,2016

4. An ultra‐short‐term wind power prediction method using ‘offline classification and optimization, online model matching’ based on time series features;Yu C.;Autom. Electr. Power Syst.,2015

5. Summarization of wind power combined forecasting technology;Ding N.;Adv. Meteorol. Sci. Technol.,2016

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