A Bayesian hierarchical model to understand the effect of terrain on wind turbine power curves-Reference-Cited by-同舟云学术

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A Bayesian hierarchical model to understand the effect of terrain on wind turbine power curves

Published:2023 Issue: Volume: Page:1-10
ISSN:1949-3029
Container-title:IEEE Transactions on Sustainable Energy
language:
Short-container-title:IEEE Trans. Sustain. Energy

Author:

Prakash Abhinav¹,Lee Se Yoon²,Liu Xin³,Liu Lei³,Mallick Bani⁴,Ding Yu⁵^ORCID

Affiliation:

1. Walmart Inc., Sunnyvale, CA, USA

2. Johnson & Johnson, Irvine, CA, USA

3. Beijing TianRun New Energy Investment Corporation Ltd., Beijing, China

4. Department of Statistics, Texas A&M University, College Station, TX, USA

5. H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA, USA

Funder

NSF

Goldwind

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Renewable Energy, Sustainability and the Environment

Link

http://xplorestaging.ieee.org/ielx7/5165391/5433168/10301539.pdf?arnumber=10301539

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