A hierarchical framework for renewable energy sources consumption promotion among microgrids through two-layer electricity prices
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DOI: 10.1016/j.rser.2021.111140
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Cited by:
- Yin, Linfei & Qiu, Yao, 2022. "Neural network dynamic differential control for long-term price guidance mechanism of flexible energy service providers," Energy, Elsevier, vol. 255(C).
- Kılıç Depren, Serpil & Kartal, Mustafa Tevfik & Ertuğrul, Hasan Murat & Depren, Özer, 2022. "The role of data frequency and method selection in electricity price estimation: Comparative evidence from Turkey in pre-pandemic and pandemic periods," Renewable Energy, Elsevier, vol. 186(C), pages 217-225.
- Zhuochao Wu & Weixing Qian & Zhenya Ji, 2022. "A Demand Response Transaction Method for Integrated Energy Systems with a Trigonometric Membership Function-Based Uncertainty Model of Costumers’ Responsive Behaviors," Sustainability, MDPI, vol. 14(24), pages 1-17, December.
- Yang Tang & Yifeng Liu & Weiqiang Huo & Meng Chen & Shilong Ye & Lei Cheng, 2023. "Optimal Allocation Scheme of Renewable Energy Consumption Responsibility Weight under Renewable Portfolio Standards: An Integrated Evolutionary Game and Stochastic Optimization Approach," Energies, MDPI, vol. 16(7), pages 1-22, March.
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Keywords
Microgrids; Renewable energy source; Electricity prices; Hierarchical framework; RES consumption promotion; Energy storage battery;All these keywords.
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