A demand response energy management scheme for industrial facilities in smart grid YM Ding, SH Hong, XH Li IEEE Transactions on Industrial Informatics 10 (4), 2257-2269, 2014 | 242 | 2014 |
Blockchain-based decentralized and secure keyless signature scheme for smart grid H Zhang, J Wang, Y Ding Energy 180, 955-967, 2019 | 131 | 2019 |
An incentive-based demand response (DR) model considering composited DR resources M Yu, SH Hong, Y Ding, X Ye IEEE Transactions on Industrial Electronics 66 (2), 1488-1498, 2018 | 128 | 2018 |
Multi-agent deep reinforcement learning based demand response for discrete manufacturing systems energy management R Lu, YC Li, Y Li, J Jiang, Y Ding Applied Energy 276, 115473, 2020 | 113 | 2020 |
A data mining-driven incentive-based demand response scheme for a virtual power plant Z Luo, SH Hong, YM Ding Applied Energy 239, 549-559, 2019 | 101 | 2019 |
Energy, economic, and environmental analysis of integration of thermal energy storage into district heating systems using waste heat from data centres H Li, J Hou, T Hong, Y Ding, N Nord Energy 219, 119582, 2021 | 72 | 2021 |
Demand response management for industrial facilities: A deep reinforcement learning approach X Huang, SH Hong, M Yu, Y Ding, J Jiang IEEE Access 7, 82194-82205, 2019 | 70 | 2019 |
Data-driven real-time price-based demand response for industrial facilities energy management R Lu, R Bai, Y Huang, Y Li, J Jiang, Y Ding Applied Energy 283, 116291, 2021 | 62 | 2021 |
A model of demand response energy management system in industrial facilities Y Ding, SH Hong 2013 IEEE International Conference on Smart Grid Communications …, 2013 | 41 | 2013 |
CFP scheduling for real-time service and energy efficiency in the industrial applications of IEEE 802.15. 4 Y Ding, SH Hong Journal of Communications and Networks 15 (1), 87-101, 2013 | 40 | 2013 |
ChainFL: A Simulation Platform for Joint Federated Learning and Blockchain in Edge/Cloud Computing Environments G Qu, N Cui, H Wu, R Li, Y Ding IEEE Transactions on Industrial Informatics, 2021 | 38 | 2021 |
Reward shaping-based actor–critic deep reinforcement learning for residential energy management R Lu, Z Jiang, H Wu, Y Ding, D Wang, HT Zhang IEEE Transactions on Industrial Informatics 19 (3), 2662-2673, 2022 | 36 | 2022 |
A hybrid deep learning-based online energy management scheme for industrial microgrid R Lu, R Bai, Y Ding, M Wei, J Jiang, M Sun, F Xiao, HT Zhang Applied Energy 304, 117857, 2021 | 32 | 2021 |
Generating scale-free topology for wireless neighborhood area networks in smart grid Y Ding, X Li, YC Tian, G Ledwich, Y Mishra, C Zhou IEEE Transactions on Smart Grid 10 (4), 4245-4252, 2018 | 30 | 2018 |
Demand response scheduling algorithm of the economic energy consumption in buildings for considering comfortable working time and user target price ZX Pi, XH Li, YM Ding, M Zhao, ZX Liu Energy and Buildings 250, 111252, 2021 | 25 | 2021 |
Modern computing: Vision and challenges SS Gill, H Wu, P Patros, C Ottaviani, P Arora, VC Pujol, D Haunschild, ... Telematics and Informatics Reports, 100116, 2024 | 23 | 2024 |
Enhanced key management protocols for wireless sensor networks B Cui, Z Wang, B Zhao, X Liang, Y Ding Mobile Information Systems 2015 (1), 627548, 2015 | 20 | 2015 |
Constrained broadcast with minimized latency in neighborhood area networks of smart grid Y Ding, YC Tian, X Li, Y Mishra, G Ledwich, C Zhou IEEE Transactions on Industrial Informatics 16 (1), 309-318, 2019 | 18 | 2019 |
A container-driven service architecture to minimize the upgrading requirements of user-side smart meters in distribution grids L Liu, Y Ding, X Li, H Wu, L Xing IEEE Transactions on Industrial Informatics 18 (1), 719-728, 2021 | 15 | 2021 |
Apparatus and method for allocating time slots to nodes without contention in wireless network SH Hong, YM Ding US Patent 9,025,585, 2015 | 15 | 2015 |