| Short-term residential load forecasting based on LSTM recurrent neural network W Kong, ZY Dong, Y Jia, DJ Hill, Y Xu, Y Zhang IEEE transactions on smart grid 10 (1), 841-851, 2017 | 2491 | 2017 |
| Short-term residential load forecasting based on resident behaviour learning W Kong, ZY Dong, DJ Hill, F Luo, Y Xu IEEE Transactions on power systems 33 (1), 1087-1088, 2017 | 709 | 2017 |
| An extensible approach for non-intrusive load disaggregation with smart meter data W Kong, ZY Dong, J Ma, DJ Hill, J Zhao, F Luo IEEE Transactions on Smart Grid 9 (4), 3362-3372, 2016 | 221 | 2016 |
| A practical solution for non-intrusive type II load monitoring based on deep learning and post-processing W Kong, ZY Dong, B Wang, J Zhao, J Huang IEEE Transactions on Smart Grid 11 (1), 148-160, 2019 | 182 | 2019 |
| Optimal home energy management system with demand charge tariff and appliance operational dependencies F Luo, W Kong, G Ranzi, ZY Dong IEEE Transactions on Smart Grid 11 (1), 4-14, 2019 | 154 | 2019 |
| A hierarchical hidden Markov model framework for home appliance modeling W Kong, ZY Dong, DJ Hill, J Ma, JH Zhao, FJ Luo IEEE Transactions on Smart Grid 9 (4), 3079-3090, 2016 | 151 | 2016 |
| Improving nonintrusive load monitoring efficiency via a hybrid programing method W Kong, ZY Dong, DJ Hill, F Luo, Y Xu IEEE Transactions on Industrial Informatics 12 (6), 2148-2157, 2016 | 90 | 2016 |
| Hybrid approaches based on deep whole-sky-image learning to photovoltaic generation forecasting W Kong, Y Jia, ZY Dong, K Meng, S Chai Applied Energy 280, 115875, 2020 | 89 | 2020 |
| Non‐intrusive energy saving appliance recommender system for smart grid residential users F Luo, G Ranzi, W Kong, ZY Dong, S Wang, J Zhao IET Generation, Transmission & Distribution 11 (7), 1786-1793, 2017 | 79 | 2017 |
| A composite k-nearest neighbor model for day-ahead load forecasting with limited temperature forecasts R Zhang, Y Xu, ZY Dong, W Kong, KP Wong 2016 IEEE Power and Energy Society General Meeting (PESGM), 1-5, 2016 | 74 | 2016 |
| Collaborative filtering-based electricity plan recommender system Y Zhang, K Meng, W Kong, ZY Dong IEEE Transactions on Industrial informatics 15 (3), 1393-1404, 2018 | 61 | 2018 |
| Personalized residential energy usage recommendation system based on load monitoring and collaborative filtering F Luo, G Ranzi, W Kong, G Liang, ZY Dong IEEE transactions on industrial informatics 17 (2), 1253-1262, 2020 | 59 | 2020 |
| A composite anomaly detection system for data-driven power plant condition monitoring Y Zhang, ZY Dong, W Kong, K Meng IEEE Transactions on Industrial Informatics 16 (7), 4390-4402, 2019 | 58 | 2019 |
| Coordinated residential energy resource scheduling with vehicle‐to‐home and high photovoltaic penetrations F Luo, G Ranzi, W Kong, ZY Dong, F Wang IET Renewable Power Generation 12 (6), 625-632, 2018 | 46 | 2018 |
| Bayesian hybrid collaborative filtering-based residential electricity plan recommender system Y Zhang, K Meng, W Kong, ZY Dong, F Qian IEEE Transactions on Industrial Informatics 15 (8), 4731-4741, 2019 | 43 | 2019 |
| Effect of automatic hyperparameter tuning for residential load forecasting via deep learning W Kong, ZY Dong, F Luo, K Meng, W Zhang, F Wang, X Zhao 2017 australasian universities power engineering conference (aupec), 1-6, 2017 | 41 | 2017 |
| Enabling the big data analysis in the smart grid F Luo, ZY Dong, J Zhao, X Zhang, W Kong, Y Chen 2015 IEEE Power & Energy Society General Meeting, 1-5, 2015 | 40 | 2015 |
| Short-term residential load forecasting based on federated learning and load clustering Y He, F Luo, G Ranzi, W Kong 2021 IEEE International Conference on Communications, Control, and Computing …, 2021 | 32 | 2021 |
| Benefits of home energy storage utilization: An australian case study of demand charge practices in residential sector W Kong, F Luo, Y Jia, ZY Dong, J Liu IEEE Transactions on Smart Grid 12 (4), 3086-3096, 2021 | 32 | 2021 |
| Distributed residential energy resource scheduling with renewable uncertainties F Luo, ZY Dong, Z Xu, W Kong, F Wang IET Generation, Transmission & Distribution 12 (11), 2770-2777, 2018 | 22 | 2018 |
ZhaoYang DongNanyang Technological University, SingaporeEmail verificata su unsw.edu.au
