Enhanced Method for Emergency Scheduling of Natural Gas Pipeline Networks Based on Heuristic Optimization
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- Bahmani-Firouzi, Bahman & Farjah, Ebrahim & Azizipanah-Abarghooee, Rasoul, 2013. "An efficient scenario-based and fuzzy self-adaptive learning particle swarm optimization approach for dynamic economic emission dispatch considering load and wind power uncertainties," Energy, Elsevier, vol. 50(C), pages 232-244.
- Jiang, Qiangqiang & Cai, Baoping & Zhang, Yanping & Xie, Min & Liu, Cuiwei, 2023. "Resilience assessment methodology of natural gas network system under random leakage," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
- Zarei, Javad & Amin-Naseri, Mohammad Reza, 2019. "An integrated optimization model for natural gas supply chain," Energy, Elsevier, vol. 185(C), pages 1114-1130.
- Mehmet Fatih Işık & Fatih Avcil & Ehsan Harirchian & Mehmet Akif Bülbül & Marijana Hadzima-Nyarko & Ercan Işık & Rabia İzol & Dorin Radu, 2023. "A Hybrid Artificial Neural Network—Particle Swarm Optimization Algorithm Model for the Determination of Target Displacements in Mid-Rise Regular Reinforced-Concrete Buildings," Sustainability, MDPI, vol. 15(12), pages 1-18, June.
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Keywords
natural gas supply assurance; emergency scheduling; user satisfaction; user reduction; optimization model;All these keywords.
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