Quantitative Modeling of Effects of Extreme Low Temperature on Wind Turbine Blade Performance Based on Nonlinear Random-Coefficient Regression Model.
Weixin YangHongshan ZhaoYangfan ZhangYu WangJieying ChangPublished in: IEEE Access (2023)
Keyphrases
- regression model
- wind turbine
- survival analysis
- wind speed
- generalized linear
- model selection
- wind power
- prediction model
- regression methods
- kernel regression
- regression analysis
- generalized linear models
- support vector regression
- gaussian process
- linear model
- regression method
- explanatory variables
- fault diagnosis
- regression trees
- independent variables
- multivariate regression
- interval valued data
- wind farm
- locally weighted
- power generation
- linear regression model
- power plant
- multiple linear regression
- input output
- response variable
- least squares
- management system
- artificial intelligence
- machine learning