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

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"

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Title
SplitVAEs: Decentralized scenario generation from siloed data for stochastic optimization problems H M Mohaimanul Islam Huynh Q. N. Vo P. Ramanan 19 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 39 5 0 16 Jul 2024
Wind Power Forecasting Considering Data Privacy Protection: A Federated Deep Reinforcement Learning Approach Yang Li Ruinong Wang Yuanzheng Li Meng Zhang Chao Long 13 173 0 02 Nov 2022
A Review of Federated Learning in Energy Systems Xu Cheng Chendan Li Xiufeng Liu 11 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 14 7 0 30 Jun 2022