Wind Power Scenario Generation Considering Spatiotemporal Correlations: A Distribution Free Hybrid VARMA-Copula Approach-Reference-Cited by-同舟云学术

Wind Power Scenario Generation Considering Spatiotemporal Correlations: A Distribution Free Hybrid VARMA-Copula Approach

Published:2023-10-29 Issue:4 Volume:8 Page:
ISSN:2731-8087
Container-title:Smart Grids and Sustainable Energy
language:en
Short-container-title:Smart Grids and Energy

Author:

Sharma Kailash Chand^ORCID,Gupta Archee,Bhakar Rohit

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s40866-023-00175-0.pdf

Reference44 articles.

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3. Jinghua L, Zhou J, Chen B (2020) Review of wind power scenario generation methods for optimal operation of renewable energy systems. App Energ 280:115992. https://doi.org/10.1016/j.apenergy.2020.115992

4. Pierre P, Henrik M, Henrik AN, Georgios P, Bernd K (2009) From probabilistic forecasts to statistical scenarios of short-term wind power production. Wind Energy 12:51–62. https://doi.org/10.1002/we.284

5. Morales JM, Minguez R, Conejo AJ (2010) A methodology to generate statistically dependent wind speed scenarios. App Energ 87:843–855. https://doi.org/10.1016/j.apenergy.2009.09.022

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