Probabilistic Forecast for Multiple Wind Farms Based on Regular Vine Copulas

By Zhao Wang, Weisheng Wang, Chun Liu, Z. Wang, Yunhe Hou. IEEE Transactions on Power Systems, 2018

151 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/f9a1429267766dfd41be7f4edc4029704bf5bb88

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In Electrical and Electronic Engineering

1. Kari Torkkola
2. Ruofeng Wen

Citations in the corpus

• A Review of Graph Neural Networks and Their Applications in Power Systems (2021, background): “There is a need to consider spatial dependence when forecasting the output power of wind farms [49].”
• Deep Learning-Based Multivariate Probabilistic Forecasting for Short-Term Scheduling in Power Markets (2019, background): “In [19], [20], the conditional error distributions are constructed based on point fore-casts, and a copula-based sampling method.”