Deep generative model for probabilistic wind speed and wind power estimation at a wind farm
Author:
Affiliation:
1. Department of Mechanical Engineering Tokyo Institute of Technology Tokyo Japan
2. College of Atmospheric Science Chengdu University of Information Technology Chengdu China
Funder
National Natural Science Foundation of China
Publisher
Wiley
Subject
General Energy,Safety, Risk, Reliability and Quality
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/ese3.1086
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