首页|期刊导航|中国电机工程学会电力与能源系统学报（英文版）|Renewable Scenario Generation Using Controllable Generative Adversarial Networks with Transparent Latent Space
中国电机工程学会电力与能源系统学报（英文版）2021，Vol.7Issue(1)：66-77,12.DOI:10.17775/CSEEJPES.2020.00700
Renewable Scenario Generation Using Controllable Generative Adversarial Networks with Transparent Latent Space
Renewable Scenario Generation Using Controllable Generative Adversarial Networks with Transparent Latent Space
摘要
关键词
Renewable scenario generation/deep learning/generative adversarial networks/neural network/transparent latent spacerKey words
Renewable scenario generation/deep learning/generative adversarial networks/neural network/transparent latent spacer引用本文复制引用
Ji Qiao,Tianjiao Pu,Xinying Wang..Renewable Scenario Generation Using Controllable Generative Adversarial Networks with Transparent Latent Space[J].中国电机工程学会电力与能源系统学报（英文版）,2021,7(1):66-77,12.基金项目
This work was supported in part by the National Key Research and Development Program of China under Grant 2018AAA0101505. （）
