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Yuemin Ding (丁月民)
Yuemin Ding (丁月民)
Associate Professor, University of Navarra, Spain
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Titel
Zitiert von
Zitiert von
Jahr
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
2662014
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
1522018
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
1512020
Blockchain-based decentralized and secure keyless signature scheme for smart grid
H Zhang, J Wang, Y Ding
Energy 180, 955-967, 2019
1402019
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
1202019
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
1152024
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
892021
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
872019
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
802021
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
582022
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
512021
A model of demand response energy management system in industrial facilities
Y Ding, SH Hong
2013 IEEE International Conference on Smart Grid Communications …, 2013
432013
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
422021
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
412013
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
352018
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
342021
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
212019
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
202021
Apparatus and method for allocating time slots to nodes without contention in wireless network
SH Hong, YM Ding
US Patent 9,025,585, 2015
202015
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
202015
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