Addressing modern and practical challenges in machine learning: A survey of online federated and transfer learning S Dai, F Meng Applied Intelligence 53 (9), 11045-11072, 2023 | 29 | 2023 |
Federatednilm: A distributed and privacy-preserving framework for non-intrusive load monitoring based on federated deep learning S Dai, F Meng, Q Wang, X Chen 2023 International Joint Conference on Neural Networks (IJCNN), 01-08, 2023 | 23 | 2023 |
DP2-NILM: A distributed and privacy-preserving framework for non-intrusive load monitoring S Dai, F Meng, Q Wang, X Chen Renewable and Sustainable Energy Reviews 191, 114091, 2024 | 12 | 2024 |
Electrical peak demand forecasting-A review S Dai, F Meng, H Dai, Q Wang, X Chen arXiv preprint arXiv:2108.01393, 2021 | 12 | 2021 |
A telehealth framework for dementia care: an ADLs patterns recognition model for patients based on NILM S Dai, Q Wang, F Meng 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 5 | 2021 |
Smart Building Thermal Management: A Data-Driven Approach Based on Dynamic and Consensus Clustering H Chen, S Dai, F Meng Sustainability 15 (21), 15489, 2023 | 2 | 2023 |
Online model-based functional clustering and functional deep learning for load forecasting using smart meter data S Dai, F Meng 2022 International Conference on Smart Energy Systems and Technologies (SEST …, 2022 | 2 | 2022 |
A distributed and real-time machine learning framework for smart meter big data S Dai University of Essex, 2023 | 1 | 2023 |
Energy Forecasting with Building Characteristics Analysis S Dai, F Meng 2020 International Joint Conference on Neural Networks (IJCNN), 1-7, 2020 | 1 | 2020 |
Dynamic Load Usage Behavior Simulation in Smart Grids: A Data-Driven Approach in Urban Buildings S Dai, F Meng 2024 Winter Simulation Conference (WSC), 762-773, 2024 | | 2024 |
Addressing modern and practical challenges in machine learning: a survey of online federated and transfer learning FM Shuang Dai Applied Intelligence 53 (9), 11045–11072, 2022 | | 2022 |