| Differential evolutionary particle swarm optimization with orthogonal learning for wind integrated optimal power flow W Bai, F Meng, M Sun, H Qin, R Allmendinger, KY Lee Applied Soft Computing 160, 111662, 2024 | | 2024 |
| Advancing Long-Term Multi-Energy Load Forecasting with Patchformer: A Patch and Transformer-Based Approach Q Hong, F Meng, F Maldonado arXiv preprint arXiv:2404.10458, 2024 | | 2024 |
| 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 | 7 | 2024 |
| Progressively select and reject pseudo-labelled samples for open-set domain adaptation Q Wang, F Meng, TP Breckon IEEE Transactions on Artificial Intelligence, 2024 | 15 | 2024 |
| Managing physical inventory and return policies for omnichannel retailing B Ma, B Mao, S Liu, F Meng, J Liu Computers & Industrial Engineering, 109986, 2024 | 1 | 2024 |
| Statistical Disaggregation—a Monte Carlo Approach for Imputation under Constraints S Hu, H Dai, F Meng, G Roberts | | 2024 |
| Optimal Allocation of PV Systems on Unbalanced Networks Using Evolutionary Algorithms W Bai, W Zhang, F Meng, R Allmendinger, KY Lee 2023 IEEE Symposium Series on Computational Intelligence (SSCI), 795-800, 2023 | 1 | 2023 |
| 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 | | 2023 |
| Towards cyber security for low-carbon transportation: Overview, challenges and future directions Y Cao, S Li, C Lv, D Wang, H Sun, J Jiang, F Meng, L Xu, X Cheng Renewable and Sustainable Energy Reviews 183, 113401, 2023 | 9 | 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 | 17 | 2023 |
| On fine-tuned deep features for unsupervised domain adaptation Q Wang, F Meng, TP Breckon 2023 International Joint Conference on Neural Networks (IJCNN), 1-7, 2023 | 3 | 2023 |
| A deep learning-based sentiment analysis approach for online product ranking with probabilistic linguistic term sets Z Liu, H Liao, M Li, Q Yang, F Meng IEEE Transactions on Engineering Management, 2023 | 6 | 2023 |
| 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 | 20 | 2023 |
| Increases or discounts: Price strategies based on customers’ patience times J Liu, J Chen, R Bo, F Meng, Y Xu, P Li European Journal of Operational Research 305 (2), 722-737, 2023 | 10 | 2023 |
| Multiple dynamic pricing for demand response with adaptive clustering-based customer segmentation in smart grids F Meng, Q Ma, Z Liu, XJ Zeng Applied Energy 333, 120626, 2023 | 9 | 2023 |
| Learn to rotate: Part orientation for reducing support volume via generalizable reinforcement learning P Shi, Q Qi, Y Qin, F Meng, S Lou, PJ Scott, X Jiang IEEE Transactions on Industrial Informatics, 2023 | 1 | 2023 |
| Customised Multi-Energy Pricing: Model and Solutions Q Hong, F Meng, J Liu Energies 16 (4), 2080, 2023 | | 2023 |
| Process knowledge-guided autonomous evolutionary optimization for constrained multiobjective problems M Zuo, D Gong, Y Wang, X Ye, B Zeng, F Meng IEEE Transactions on Evolutionary Computation, 2023 | 24 | 2023 |
| Optimal economic dispatch policy for prosumer with energy storage considering self-consumption demand J Liu, Z Dai, R Bo, F Meng, M Ou Computers & Industrial Engineering 176, 108853, 2023 | 3 | 2023 |
| A bilevel game-theoretic decision-making framework for strategic retailers in both local and wholesale electricity markets Q Hong, F Meng, J Liu, R Bo Applied Energy 330, 120311, 2023 | 23 | 2023 |
