A Deep-Learning Intelligent System Incorporating Data Augmentation for
Short-Term Voltage Stability Assessment of Power Systems

A Deep-Learning Intelligent System Incorporating Data Augmentation for Short-Term Voltage Stability Assessment of Power Systems

5 December 2021

Yang Li

ArXiv (abs)PDF HTML

Papers citing "A Deep-Learning Intelligent System Incorporating Data Augmentation for Short-Term Voltage Stability Assessment of Power Systems"

9 / 9 papers shown

Title
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 298 30,152 0 01 Mar 2022
Optimal Scheduling of Isolated Microgrids Using Automated Reinforcement Learning-based Multi-period Forecasting Yang Li Ruinong Wang Zhen Yang AI4TS 40 178 0 15 Aug 2021
Privacy-preserving Spatiotemporal Scenario Generation of Renewable Energies: A Federated Deep Generative Learning Approach Yang Li Jiazheng Li Yi Wang 75 156 0 16 Jul 2021
Data-Driven Short-Term Voltage Stability Assessment Based on Spatial-Temporal Graph Convolutional Network Yonghong Luo Chao Lu Lipeng Zhu Jie Song 56 57 0 05 Mar 2021
An empirical study on evaluation metrics of generative adversarial networks Qiantong Xu Gao Huang Yang Yuan Chuan Guo Yu Sun Felix Wu Kilian Q. Weinberger EGVM 65 273 0 19 Jun 2018
Least Squares Generative Adversarial Networks Xudong Mao Qing Li Haoran Xie Raymond Y. K. Lau Zhen Wang Stephen Paul Smolley GAN 340 4,579 0 13 Nov 2016
Attention-Based Models for Speech Recognition J. Chorowski Dzmitry Bahdanau Dmitriy Serdyuk Kyunghyun Cho Yoshua Bengio 129 2,611 0 24 Jun 2015
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling Junyoung Chung Çağlar Gülçehre Kyunghyun Cho Yoshua Bengio 605 12,745 0 11 Dec 2014
Conditional Generative Adversarial Nets M. Berk Mirza Simon Osindero GAN SyDa AI4CE 264 10,429 0 06 Nov 2014

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.