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Found 4 papers, 0 papers with code
Nonparametric End-to-End Probabilistic Forecasting of Distributed Generation Outputs Considering Missing Data Imputation
In this paper, we introduce a nonparametric end-to-end method for probabilistic forecasting of distributed renewable generation outputs while including missing data imputation.
An Adaptive Approach for Probabilistic Wind Power Forecasting Based on Meta-Learning
This paper studies an adaptive approach for probabilistic wind power forecasting (WPF) including offline and online learning procedures.
Appendix for Nonparametric Multivariate Probability Density Forecast in Smart Grids With Deep Learning
This paper proposes a nonparametric multivariate density forecast model based on deep learning.
A Multivariate Density Forecast Approach for Online Power System Security Assessment
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 in power systems.
