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Weicong Kong
Weicong Kong
Postdoc Research Fellow, UNSW
Bestätigte E-Mail-Adresse bei unsw.edu.au
Titel
Zitiert von
Zitiert von
Jahr
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
22052017
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
6612017
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
2012016
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
1692019
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
1402016
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
1392019
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
892016
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
762020
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
692017
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
692016
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
512018
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
502020
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
482019
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
432018
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
392015
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
372017
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
352019
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
282021
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
242021
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
212018
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