An open-source modeling tool for multi-objective optimization of renewable nano/micro-off-grid power supply system: Influence of temporal resolution, simulation period, and location
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DOI: 10.1016/j.energy.2020.119545
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Cited by:
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- Schmid, Fabian & Behrendt, Frank, 2023. "Genetic sizing optimization of residential multi-carrier energy systems: The aim of energy autarky and its cost," Energy, Elsevier, vol. 262(PA).
- Xiao Ya Deng, 2022. "Multi-Objective Optimization Information Fusion and Its Applications for Logistics Centers Maximum Coverage," International Journal of Information Systems and Supply Chain Management (IJISSCM), IGI Global, vol. 15(2), pages 1-12, April.
- Arévalo, Paúl & Cano, Antonio & Jurado, Francisco, 2022. "Mitigation of carbon footprint with 100% renewable energy system by 2050: The case of Galapagos islands," Energy, Elsevier, vol. 245(C).
- Yin, Linfei & Luo, Shikui & Ma, Chenxiao, 2021. "Expandable depth and width adaptive dynamic programming for economic smart generation control of smart grids," Energy, Elsevier, vol. 232(C).
- Zhao, Yi-Bo & Dong, Xiao-Jian & Shen, Jia-Ni & He, Yi-Jun, 2024. "Simultaneous sizing and scheduling optimization for PV-wind-battery hybrid systems with a modified battery lifetime model: A high-resolution analysis in China," Applied Energy, Elsevier, vol. 360(C).
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Keywords
Open-source energy system modeling tool; Renewable nano/micro-off-grid power supply system; Multi-objective optimization; High temporal resolution; Influencing factor analysis;All these keywords.
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