Showing 21 - 40 results of 69 for search '"robust optimization"', query time: 0.12s Refine Results
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    A Two-Stage Robust Optimization Method Based on the Expected Scenario for Islanded Microgrid Energy Management by Qing Duan, Wanxing Sheng, Haoqing Wang, Caihong Zhao, Chunyan Ma

    Published 2021-01-01
    “…The classic two-stage robust optimization (C-TSRO) method was proposed to cope with these uncertainties. …”
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    Hybrid stochastic and robust optimization of a hybrid system with fuel cell for building electrification using an improved arithmetic optimization algorithm by Fude Duan, Mahdiyeh Eslami, Mustafa Okati, Dheyaa J. Jasim, Arsalan Khadim Mahmood

    Published 2025-01-01
    “…Abstract This paper proposes a hybrid stochastic-robust optimization framework for sizing a photovoltaic/tidal/fuel cell (PV/TDL/FC) system to meet an annual educational building demand based on hydrogen storage via unscented transformation (UT), and information gap decision theory-based risk-averse strategy (IGDT-RA). …”
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    Distributionally Robust Variational Quantum Algorithms With Shifted Noise by Zichang He, Bo Peng, Yuri Alexeev, Zheng Zhang

    Published 2024-01-01
    Subjects: “…distributionally robust optimization (DRO)…”
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    A Two-Stage Robust Optimization Strategy for Long-Term Energy Storage and Cascaded Utilization of Cold and Heat Energy in Peer-to-Peer Electricity Energy Trading by Yun Chen, Yunhao Zhao, Xinghao Zhang, Ying Wang, Rongyao Mi, Junxiao Song, Zhiguo Hao, Chuanbo Xu

    Published 2025-01-01
    “…This study addresses the optimization of urban integrated energy systems (UIESs) under uncertainty in peer-to-peer (P2P) electricity trading by introducing a two-stage robust optimization strategy. The strategy includes a UIES model with a photovoltaic (PV)–green roof, hydrogen storage, and cascading cold/heat energy subsystems. …”
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    Distance-Based Congestion Pricing with Day-to-Day Dynamic Traffic Flow Evolution Process by Qixiu Cheng, Jiping Xing, Wendy Yi, Zhiyuan Liu, Xiao Fu

    Published 2019-01-01
    “…A very clear and concise model named logit-type Markov adaptive learning model is then proposed to depict commuters’ day-to-day route choice behaviors. Finally, a robust optimization model which minimizes the maximum total travel cost among the whole planning horizon is formulated and a modified artificial bee colony algorithm is developed for the robust optimization model.…”
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