1 citations · 1 across the 4 of their papers we have counts for
4 papers
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…
An Adaptive Approach for Probabilistic Wind Power Forecasting Based on Meta-Learning
Zichao Meng, Ye Guo, Hongbin Sun
This paper studies an adaptive approach for probabilistic wind power forecasting (WPF) including offline and online learning procedures. In the offline learning stage, a base forec…
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…
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…