| A dynamic pricing demand response algorithm for smart grid: Reinforcement learning approach R Lu, SH Hong, X Zhang Applied energy 220, 220-230, 2018 | 466 | 2018 |
| Incentive-based demand response for smart grid with reinforcement learning and deep neural network R Lu, SH Hong Applied energy 236, 937-949, 2019 | 435 | 2019 |
| 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 | 413 | 2015 |
| 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 | 386 | 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 | 342 | 1995 |
| Supply–demand balancing for power management in smart grid: A Stackelberg game approach M Yu, SH Hong Applied Energy 164, 702-710, 2016 | 271 | 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 | 263 | 2014 |
| Incentive-based demand response considering hierarchical electricity market: A Stackelberg game approach M Yu, SH Hong Applied Energy 203, 267-279, 2017 | 240 | 2017 |
| 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 | 151 | 2018 |
| An IoT-based energy-management platform for industrial facilities M Wei, SH Hong Applied Energy 164, 607-619, 2016 | 150 | 2016 |
| 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 | 131 | 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 | 128 | 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 | 120 | 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 | 100 | 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 | 96 | 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 | 91 | 2009 |
| 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 | 88 | 2019 |
| A real-time demand response algorithm for heterogeneous devices in buildings and homes SH Hong, M Yu, X Huang Energy 80, 123-132, 2015 | 83 | 2015 |
| A real-time decision model for industrial load management in a smart grid M Yu, R Lu, SH Hong Applied energy 183, 1488-1497, 2016 | 79 | 2016 |
Mengmeng YuResearch Professor of Hanyang UniversityПотвърден имейл адрес: hanyang.ac.kr