Multi-objective interval prediction of wind power based on conditional copula function-Reference-Cited by-同舟云学术

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Multi-objective interval prediction of wind power based on conditional copula function

Published:2019-02-12 Issue:4 Volume:7 Page:802-812
ISSN:2196-5625
Container-title:Journal of Modern Power Systems and Clean Energy
language:en
Short-container-title:J. Mod. Power Syst. Clean Energy

Author:

ZHANG Gang^ORCID,LI Zhixuan,ZHANG Kaoshe,ZHANG Lei,HUA Xia,WANG Yongqing

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Shaanxi provincial education office fund

Key research and development plan of Shaanxi Province

Publisher

Springer Science and Business Media LLC

Subject

Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment

Link

http://link.springer.com/article/10.1007/s40565-018-0495-0/fulltext.html

Reference37 articles.

1. Liu Y, Xiao LY, Wang HF et al (2013) Analysis on the hourly spatiotemporal complementarities between China’s solar and wind energy resources spreading in a wide area. Sci China (Technol Sci) 56(3):683–692

2. Liu L, Ji TY, Li MS et al (2018) Short-term local prediction of wind speed and wind power based on singular spectrum analysis and locality-sensitive hashing. J Modern Power Syst Clean Energy 6(2):317–329

3. Lobo MG, Sanchez I (2012) Regional wind power forecasting based on smoothing techniques, with application to the Spanish peninsular system. IEEE Trans Power Syst 27(4):1990–1997

4. Bouffard F, Galiana FD (2008) Stochastic security for operations planning with significant wind power generation. IEEE Trans Power Syst 23(2):306–316

5. Wang ZM (2009) Study on cultivating and developing the industry chain of wind power in China. Dissertation, Jiangsu University

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4. Hybrid attention-based temporal convolutional bidirectional LSTM approach for wind speed interval prediction;Environmental Science and Pollution Research;2023-01-05

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