Privacy-preserving Spatiotemporal Scenario Generation of Renewable Energies: A Federated Deep Generative Learning Approach

16 July 2021

Yang Li

Papers citing "Privacy-preserving Spatiotemporal Scenario Generation of Renewable Energies: A Federated Deep Generative Learning Approach"

21 / 21 papers shown

Title
SplitVAEs: Decentralized scenario generation from siloed data for stochastic optimization problems H M Mohaimanul Islam Huynh Q. N. Vo P. Ramanan 29 0 0 18 Sep 2024
AIGC for Industrial Time Series: From Deep Generative Models to Large Generative Models Lei Ren Haiteng Wang Yang Tang Yang Tang Chunhua Yang AI4TS AI4CE 51 5 0 16 Jul 2024
Harnessing Federated Generative Learning for Green and Sustainable Internet of Things Yuanhang Qi M. Hossain 45 7 0 30 Apr 2024
Advanced Intelligent Optimization Algorithms for Multi-Objective Optimal Power Flow in Future Power Systems: A Review Yuyan Li 24 1 0 14 Apr 2024
Personalized Federated Learning for Spatio-Temporal Forecasting: A Dual Semantic Alignment-Based Contrastive Approach Qing Liu Sheng Sun Yuxuan Liang Jingjing Xue Min Liu AI4TS 32 2 0 04 Apr 2024
Explainable Modeling for Wind Power Forecasting: A Glass-Box Approach with High Accuracy Wenlong Liao F. Porté-Agel Jiannong Fang Birgitte Bak-Jensen Guangchun Ruan Zhe Yang 12 0 0 28 Oct 2023
Deep learning based on Transformer architecture for power system short-term voltage stability assessment with class imbalance Yang Li Jiting Cao Yan Xu Lipeng Zhu Z. Dong 23 81 0 18 Oct 2023
PMU measurements based short-term voltage stability assessment of power systems via deep transfer learning Yongqian Li Shitu Zhang Yuan Li Jiting Cao Shuyue Jia 27 33 0 07 Aug 2023
Privacy-Preserving Taxi-Demand Prediction Using Federated Learning Yumeki Goto Tomoya Matsumoto Hamada Rizk Naoto Yanai Hirozumi Yamaguchi 33 6 0 14 May 2023
Customized Load Profiles Synthesis for Electricity Customers Based on Conditional Diffusion Models Zhen-yu Wang Hongcai Zhang DiffM 32 14 0 24 Apr 2023
The State of the Art in transformer fault diagnosis with artificial intelligence and Dissolved Gas Analysis: A Review of the Literature Yuyan Li AI4CE 19 5 0 24 Apr 2023
Crossing Roads of Federated Learning and Smart Grids: Overview, Challenges, and Perspectives Hafsa Bousbiat Roumaysa Bousselidj Yassine Himeur Abbes Amira F. Bensaali F. Fadli W. Mansoor W. Elmenreich 23 8 0 17 Apr 2023
Optimal scheduling of island integrated energy systems considering multi-uncertainties and hydrothermal simultaneous transmission: A deep reinforcement learning approach Yang Li Fanjin Bu Yuanzheng Li Chao Long 17 87 0 27 Dec 2022
Wind Power Forecasting Considering Data Privacy Protection: A Federated Deep Reinforcement Learning Approach Yang Li Ruinong Wang Yuanzheng Li Meng Zhang Chao Long 21 176 0 02 Nov 2022
Data Encryption based on 7D Complex Chaotic System with Cubic Memristor for Smart Grid Lei Kou Zhe Huang C. Jiang Fangfang Zhang Wende Ke Junhe Wan Hailin Liu Hui Li 15 9 0 02 Sep 2022
Detection of False Data Injection Attacks in Smart Grid: A Secure Federated Deep Learning Approach Yang Li Xinhao Wei Yuan Li Zhaoyang Dong M. Shahidehpour 26 197 0 02 Sep 2022
A Review of Federated Learning in Energy Systems Xu Cheng Chendan Li Xiufeng Liu 26 27 0 20 Aug 2022
Privacy-preserving household load forecasting based on non-intrusive load monitoring: A federated deep learning approach Xin-Yue Zhou Jingru Feng Jian Wang Jianhong Pan 27 7 0 30 Jun 2022
SolarGAN: Synthetic Annual Solar Irradiance Time Series on Urban Building Facades via Deep Generative Networks Yufei Zhang A. Schlüter C. Waibel AI4CE 22 23 0 01 Jun 2022
A Deep-Learning Intelligent System Incorporating Data Augmentation for Short-Term Voltage Stability Assessment of Power Systems Yang Li Meng Zhang Cheng Chen 33 128 0 05 Dec 2021
Bitcoin Transaction Strategy Construction Based on Deep Reinforcement Learning Fengrui Liu Yang Li Baitong Li Jiaxin Li Huiyang Xie 26 42 0 30 Sep 2021