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Multi-agent low-carbon optimal dispatch of regional integrated energy system based on mixed game theory. (2024). Liang, Ziwen ; Mu, Longhua.
In: Energy.
RePEc:eee:energy:v:295:y:2024:i:c:s0360544224007254.

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  1. Strategy for optimizing the bidirectional time-of-use electricity price in multi-microgrids coupled with multilevel games. (2025). Wang, Can ; Liu, Yuzheng ; Zhang, YU ; Yang, Nan ; Zhao, Zhuoli ; Lai, Chun Sing.
    In: Energy.
    RePEc:eee:energy:v:323:y:2025:i:c:s0360544225013738.

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  2. Safe multi-agent deep reinforcement learning for decentralized low-carbon operation in active distribution networks and multi-microgrids. (2025). Ye, Tong ; Huang, Yuping ; Yang, Weijia ; Cai, Guotian ; Pan, Feng.
    In: Applied Energy.
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  3. Two-layer energy dispatching and collaborative optimization of regional integrated energy system considering stakeholders game and flexible load management. (2025). Li, Ji-Xiang ; Gu, Rui-Zheng ; Liu, Zhi-Feng ; Luo, Xing-Fu ; Zhao, Shi-Xiang ; Huang, Ya-He.
    In: Applied Energy.
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  4. Scenario probabilistic data-driven two-stage robust optimal operation strategy for regional integrated energy systems considering ladder-type carbon trading. (2024). Lin, Qichao ; Zhu, Shanying ; Xiang, Leijun ; Gao, Minkun.
    In: Renewable Energy.
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  5. Low-carbon operation of multi-virtual power plants with hydrogen doping and load aggregator based on bilateral cooperative game. (2024). Sun, Qiuye ; Dong, Chaoyu ; Feng, Junbo ; Wang, Rui ; Li, Ming ; Liu, Xinrui.
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  48. Coordinated operation and expansion planning for multiple microgrids and active distribution networks under uncertainties. (2021). Pinto, Rafael S ; Tabarro, Fabricio H ; Unsihuay-Vila, Clodomiro.
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