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Cooperative operation of industrial/commercial/residential integrated energy system with hydrogen energy based on Nash bargaining theory. (2024). Xing, Y W ; Liu, X H ; Wang, W ; Xian, R C ; Jiao, P H.
In: Energy.
RePEc:eee:energy:v:288:y:2024:i:c:s0360544223032620.

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  1. A multi-agent distributed electricity-carbon shared trading strategy considering regional carbon inclusion. (2025). Li, Qifen ; Ren, Hongbo ; Zhou, Weisheng ; Wu, Qiong ; Zhang, Yue.
    In: Renewable Energy.
    RePEc:eee:renene:v:239:y:2025:i:c:s0960148124021438.

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  2. Data-driven distributionally robust stochastic optimal dispatching method of integrated energy system considering multiple uncertainties. (2025). Hou, Hongjuan ; Zhou, Yixing ; Yan, Haoran ; Wang, XI.
    In: Energy.
    RePEc:eee:energy:v:325:y:2025:i:c:s0360544225017463.

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  3. Cooperative operation for multiple virtual power plants considering energy-carbon trading: A Nash bargaining model. (2024). Dehghanian, Payman ; Cao, Jinye ; Yang, Dechang.
    In: Energy.
    RePEc:eee:energy:v:307:y:2024:i:c:s0360544224025878.

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  4. A novel dynamic simulation strategy for regional integrated energy system considering coupling components failure. (2024). Qiu, Yong ; Ji, Wenchao ; Zhang, Tao ; Wei, Linyang ; Li, Guojun.
    In: Energy.
    RePEc:eee:energy:v:295:y:2024:i:c:s0360544224007564.

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  5. 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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