Integrating Evolutionary Game-Theoretical Methods and Deep Reinforcement Learning for Adaptive Strategy Optimization in User-Side Electricity Markets: A Comprehensive Review.
Saved in:
| Title: | Integrating Evolutionary Game-Theoretical Methods and Deep Reinforcement Learning for Adaptive Strategy Optimization in User-Side Electricity Markets: A Comprehensive Review. |
|---|---|
| Authors: | Cheng, Lefeng1 (AUTHOR) chenglefeng@gzhu.edu.cn, Wei, Xin1 (AUTHOR), Li, Manling1 (AUTHOR), Tan, Can1 (AUTHOR), Yin, Meng1 (AUTHOR), Shen, Teng1 (AUTHOR) shent215@gzhu.edu.cn, Zou, Tao1 (AUTHOR) shent215@gzhu.edu.cn |
| Source: | Mathematics (2227-7390). Oct2024, Vol. 12 Issue 20, p3241. 56p. |
| Database: | Academic Search Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 22277390 |
|---|---|
| DOI: | 10.3390/math12203241 |
