Privacy-preserving household load forecasting based on non-intrusive load monitoring: A federated deep learning approach

30 June 2022

Papers citing "Privacy-preserving household load forecasting based on non-intrusive load monitoring: A federated deep learning approach"

9 / 9 papers shown

Title
A Deep-Learning Intelligent System Incorporating Data Augmentation for Short-Term Voltage Stability Assessment of Power Systems Yang Li Meng Zhang Chong Chen 53 129 0 05 Dec 2021
Optimal Scheduling of Isolated Microgrids Using Automated Reinforcement Learning-based Multi-period Forecasting Yang Li Ruinong Wang Zhen Yang AI4TS 32 178 0 15 Aug 2021
Privacy-preserving Spatiotemporal Scenario Generation of Renewable Energies: A Federated Deep Generative Learning Approach Yang Li Jiazheng Li Yi Wang 65 156 0 16 Jul 2021
A Survey on Anomaly Detection for Technical Systems using LSTM Networks Benjamin Lindemann Benjamin Maschler N. Sahlab M. Weyrich AI4TS 48 279 0 28 May 2021
GCNs-Net: A Graph Convolutional Neural Network Approach for Decoding Time-resolved EEG Motor Imagery Signals Yimin Hou Shuyue Jia Xiangmin Lun Hanrui Yang Yan Shi Yongqian Li Shu Zhang Jinglei Lv 35 117 0 16 Jun 2020
Energy Efficient Federated Learning Over Wireless Communication Networks Zhaohui Yang Mingzhe Chen Walid Saad Choong Seon Hong M. Shikh-Bahaei 77 692 0 06 Nov 2019
Deep Learning for Time Series Forecasting: The Electric Load Case Alberto Gasparin S. Lukovic Cesare Alippi AI4TS 57 225 0 22 Jul 2019
Video Summarization with Attention-Based Encoder-Decoder Networks Zhong Ji Kailin Xiong Yanwei Pang Xuelong Li 54 307 0 31 Aug 2017
Lasso estimation for GEFCom2014 probabilistic electric load forecasting F. Ziel Bidong Liu 44 72 0 04 Mar 2016