A dynamic pricing demand response algorithm for smart grid: Reinforcement learning approach R Lu, SH Hong, X Zhang Applied energy 220, 220-230, 2018 | 418 | 2018 |
A Real-Time Demand-Response Algorithm for Smart Grids: A Stackelberg Game Approach M Yu, SH Hong IEEE Transactions on Smart Grid 7 (NO. 2), 879 - 888, 2015 | 393 | 2015 |
Incentive-based demand response for smart grid with reinforcement learning and deep neural network R Lu, SH Hong Applied energy 236, 937-949, 2019 | 388 | 2019 |
Demand response for home energy management using reinforcement learning and artificial neural network R Lu, SH Hong, M Yu IEEE Transactions on Smart Grid 10 (6), 6629-6639, 2019 | 346 | 2019 |
Scheduling algorithm of data sampling times in the integrated communication and control systems SH Hong IEEE Transactions on control systems technology 3 (2), 225-230, 1995 | 343 | 1995 |
Supply–demand balancing for power management in smart grid: A Stackelberg game approach M Yu, SH Hong Applied Energy 164, 702-710, 2016 | 262 | 2016 |
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 | 249 | 2014 |
Incentive-based demand response considering hierarchical electricity market: A Stackelberg game approach M Yu, SH Hong Applied Energy 203, 267-279, 2017 | 224 | 2017 |
An IoT-based energy-management platform for industrial facilities M Wei, SH Hong Applied Energy 164, 607-619, 2016 | 140 | 2016 |
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 | 136 | 2018 |
User-expected price-based demand response algorithm for a home-to-grid system XH Li, SH Hong Energy 64, 437-449, 2014 | 135 | 2014 |
Bandwidth allocation scheme in CAN protocol SH Hong, WH Kim Control Theory and Applications, IEE Proceedings- 147 (1), 37-44, 2000 | 132 | 2000 |
Toward industry 4.0 components: Insights into and implementation of asset administration shells X Ye, SH Hong IEEE Industrial Electronics Magazine 13 (1), 13-25, 2019 | 113 | 2019 |
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 | 109 | 2019 |
Real-time demand bidding for energy management in discrete manufacturing facilities YC Li, SH Hong IEEE Transactions on Industrial Electronics 64 (1), 739-749, 2016 | 90 | 2016 |
Hour-ahead price based energy management scheme for industrial facilities X Huang, SH Hong, Y Li IEEE Transactions on Industrial Informatics 13 (6), 2886-2898, 2017 | 89 | 2017 |
Experimental case study of a BACnet-based lighting control system TJ Park, SH Hong IEEE transactions on automation science and engineering 6 (2), 322-333, 2009 | 89 | 2009 |
A real-time demand response algorithm for heterogeneous devices in buildings and homes SH Hong, M Yu, X Huang Energy 80, 123-132, 2015 | 82 | 2015 |
Implementation of a bandwidth allocation scheme in a token-passing fieldbus network SH Hong, YC Kim IEEE Transactions on Instrumentation and Measurement 51 (2), 246-251, 2002 | 79 | 2002 |
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 | 77 | 2019 |