Open AccessScenario Generation for Wind Power Using Generative Adversarial Networks
Author(s) -
Shi Tiancheng,
Gejirifu De,
Cong Hao,
Guo Wenzhang,
Zhong Yalin,
Long Qian
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2320/1/012019
Subject(s) - computer science , wind power , parametric statistics , discriminator , generator (circuit theory) , probabilistic logic , renewable energy , parametric model , monte carlo method , power (physics) , generative grammar , wind speed , artificial intelligence , engineering , telecommunications , mathematics , statistics , meteorology , physics , quantum mechanics , detector , electrical engineering