- 何耀耀,严煜东,许启发,Wind and solar power probability density prediction via fuzzy information granulation and support vector quantile regression.[J:International Journal of Electrical Power and Energy Systems,2019,113:):515-527.
- 何耀耀,秦杨,雷晓辉,冯南平,A study on short-term power load probability density forecasting considering wind power effects.[J:International Journal of Electrical Power and Energy Systems,2019,113:):502-514.
- 何耀耀,郑丫丫,许启发,Forecasting energy consumption in Anhui province of China through two Box-Cox transformation quantile regression probability density methods.[J:Measurement,2019,136):579-593.
- 何耀耀,秦杨,王硕,王旭,王超,Electricity consumption probability density forecasting method based on LASSO-Quantile Regression Neural Network.[J:Applied Energy,2019,233-234:):565-575.
- 何耀耀,许启发,万金红,杨善林,Electrical load forecasting based on self-adaptive chaotic neural network using Chebyshev map.[J:Neural Computing and Applications,2018,29(7):603-612.
- 何耀耀,郑丫丫,Short-term power load probability density forecasting based on Yeo-Johnson transformation quantile regression and Gaussian kernel function:Energy,2018,154):143-156.
- 何耀耀,李海燕,Probability density forecasting of wind power using quantile regression neural network and kernel density estimation.[J:Energy Conversion and Management,2018,164):374-384.
- 何耀耀,刘瑞,李海燕,王硕,陆晓芬,Short-term power load probability density forecasting method using kernel-based support vector quantile regression and Copula theory.[J].英国:Applied Energy,2017,185):254-266.