Renewable Energy Scenario Generation Method Based on Order-Preserving Wasserstein Distance
Author:
Affiliation:
1. North China Electric Power University,Department of Electrical and Electronic Engineering,Beiing,China
2. Economic and Technical Research Institute,State Grid Tianjin Electric Power Company,Tianjin,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9948701/9949620/09949973.pdf?arnumber=9949973
Reference9 articles.
1. Day-ahead Scenario Generation Method of Renewable Energy Based on Conditional GAN[J];xiaochong;Proceedings of The CSEE Proceedings of CSEE Proceeding of the CSEE,2020
2. Order-Preserving Wasserstein Distance for Sequence Matching
3. Matrix scaling: A geometric proof of Sinkhorn's theorem
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