Wind Power Forecasting Considering Data Privacy Protection: A Federated
Deep Reinforcement Learning Approach

Wind Power Forecasting Considering Data Privacy Protection: A Federated Deep Reinforcement Learning Approach

2 November 2022

Yang Li

Papers citing "Wind Power Forecasting Considering Data Privacy Protection: A Federated Deep Reinforcement Learning Approach"

12 / 12 papers shown

Title
LTPNet Integration of Deep Learning and Environmental Decision Support Systems for Renewable Energy Demand Forecasting Te Li Mengze Zhang Yan Zhou 50 6 0 20 Oct 2024
SplitVAEs: Decentralized scenario generation from siloed data for stochastic optimization problems H M Mohaimanul Islam Huynh Q. N. Vo P. Ramanan 26 0 0 18 Sep 2024
Wind turbine condition monitoring based on intra- and inter-farm federated learning Albin Grataloup Stefan Jonas Angela Meyer AI4CE 35 0 0 05 Sep 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
A review of federated learning in renewable energy applications: Potential, challenges, and future directions Albin Grataloup Stefan Jonas Angela Meyer 43 3 0 18 Dec 2023
Resilient Control of Networked Microgrids using Vertical Federated Reinforcement Learning: Designs and Real-Time Test-Bed Validations Sayak Mukherjee Ramij-Raja Hossain Sheik M. Mohiuddin Yuan Liu Wei Du Veronica Adetola Rohit A Jinsiwale Qiuhua Huang Tianzhixi Yin Ankit Singhal 11 2 0 21 Nov 2023
Vulnerability of Machine Learning Approaches Applied in IoT-based Smart Grid: A Review Zhenyong Zhang Mengxiang Liu Mingyang Sun Ruilong Deng Peng Cheng Dusit Niyato Mo-Yuen Chow Jiming Chen 38 38 0 30 Aug 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
Multi-Microgrid Collaborative Optimization Scheduling Using an Improved Multi-Agent Soft Actor-Critic Algorithm Jiankai Gao Yang Li Bin Wang Haibo Wu 16 11 0 01 Apr 2023
Privacy Preserving Ultra-Short-term Wind Power Prediction Based on Secure Multi Party Computation Hang Fan Xiaoyu Fan Tianyi Hao Wei Wei Kung Chen Guosai Wang Xiaofeng Jia Yidong Li Wei-ping Xu 22 3 0 31 Jan 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 11 87 0 27 Dec 2022
Privacy-preserving Spatiotemporal Scenario Generation of Renewable Energies: A Federated Deep Generative Learning Approach Yang Li Jiazheng Li Yi Wang 29 151 0 16 Jul 2021