Statistical scenarios forecasting method for wind power ramp events using modified neural networks-Reference-Cited by-同舟云学术

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Statistical scenarios forecasting method for wind power ramp events using modified neural networks

Published:2015-07-14 Issue:3 Volume:3 Page:371-380
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:

CUI Mingjian,KE Deping,GAN Di,SUN Yuanzhang

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/s40565-015-0138-7/fulltext.html

Reference23 articles.

1. Sorensen P, Cutululis NA, Vigueras-Rodriguez A et al (2007) Power fluctuations from large wind farms. IEEE Trans Power Syst 22(3):958–965

2. Zheng HY, Kusiak A (2009) Prediction of wind farm power ramp rates: a data-mining approach. J Solar Energy Eng 131(3):031011/1–8

3. Navid N, Rosenwald G (2012) Market solutions for managing ramp flexibility with high penetration of renewable resource. IEEE Trans Sustain Energy 3(4):784–790

4. AWS (2008) Truewind’s final report for the Alberta forecasting pilot project. AWS Truewind, Albany

5. Kamath C (2010) Understanding wind ramp events through analysis of historical data. In: Proceedings of the 2010 IEEE PES transmission and distribution conference and exposition, New Orleans, LA, USA, 19–22 Apr 2010, 6 pp

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