Generalized bivariate mixture model of directional wind speed in mixed wind climates
Author:
Funder
National Natural Science Foundation of China
Higher Education Discipline Innovation Project
Publisher
Elsevier BV
Reference59 articles.
1. Improving the accuracy of wind speed statistical analysis and wind energy utilization in the Ningxia Autonomous Region, China;Dong;Appl. Energy,2022
2. Analysis on the characteristics of wind speed and wind energy resources from 1961 to 2020 and the impact of urban underlying surface change on them in Shenyang;Wang;Energy Rep.,2022
3. Promoting wind energy for sustainable development by precise wind speed prediction based on graph neural networks;Wu;Renew. Energy,2022
4. Effective wind speed estimation study of the wind turbine based on deep learning, Energy;Chen;Energy,2022
5. Design and performance study of a rotating piezoelectric wind energy harvesting device with wind turbine structure;He;Energy,2022
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1. A semi-parametric trivariate model of wind speed, wind direction, and air density for directional wind energy potential assessment;Energy Conversion and Management;2024-08
2. A Circular-Linear Probabilistic Model Based on Nonparametric Copula with Applications to Directional Wind Energy Assessment;Entropy;2024-05-31
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