3 papers
eess.SY2024
Nonparametric End-to-End Probabilistic Forecasting of Distributed Generation Outputs Considering Missing Data Imputation
Minghui Chen, Zichao Meng, Yanping Liu +3
In this paper, we introduce a nonparametric end-to-end method for probabilistic forecasting of distributed renewable generation outputs while including missing data imputation. Fir…
eess.SY2022
Appendix for Nonparametric Multivariate Probability Density Forecast in Smart Grids With Deep Learning
Zichao Meng, Ye Guo, Wenjun Tang +1
This paper proposes a nonparametric multivariate density forecast model based on deep learning. It not only offers the whole marginal distribution of each random variable in foreca…
eess.SY2021
A Multivariate Density Forecast Approach for Online Power System Security Assessment
Zichao Meng, Ye Guo, Wenjun Tang +2
A multivariate density forecast model based on deep learning is designed in this paper to forecast the joint cumulative distribution functions (JCDFs) of multiple security margins…