Wind Power Scenario Generation Using Graph Convolutional Generative Adversarial Network

Young-ho Cho, Shaohui Liu, Duehee Lee +1

Generating wind power scenarios is very important for studying the impacts of multiple wind farms that are interconnected to the grid. We develop a graph convolutional generative a…