| Highly accurate energy consumption forecasting model based on parallel LSTM neural networks N Jin, F Yang, Y Mo, Y Zeng, X Zhou, K Yan, X Ma Advanced Engineering Informatics 51, 101442, 2022 | 111 | 2022 |
| Multiple households energy consumption forecasting using consistent modeling with privacy preservation F Yang, K Yan, N Jin, Y Du Advanced Engineering Informatics 55, 101846, 2023 | 11 | 2023 |
| AI empowered virtual reality integrated systems for sleep stage classification and quality enhancement J Huang, L Ren, L Feng, F Yang, L Yang, K Yan IEEE Transactions on Neural Systems and Rehabilitation Engineering 30, 1494-1503, 2022 | 11 | 2022 |
| Parallel lstm enhanced forecasting system for dependable and secure household energy consumption K Yan, F Yang, X Zhou, W Liang 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th …, 2021 | 2 | 2021 |
| Household energy consumption forecasting based on adaptive signal decomposition enhanced iTransformer network J Liu, F Yang, K Yan, L Jiang Energy and Buildings 324, 114894, 2024 | | 2024 |
Ke YanProfessor, Mechanical and Electrical Engineering, Hunan University, National University of Singapore在 nus.edu.sg 的电子邮件经过验证
