Zobrazeno 1 - 10
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pro vyhledávání: '"Du, Wenli"'
Autor:
Li, Longyan, Ning, Chao, Pan, Guangsheng, Zhang, Leiqi, Gu, Wei, Zhao, Liang, Du, Wenli, Shahidehpour, Mohammad
This paper proposes a Risk-Averse Just-In-Time (RAJIT) operation scheme for Ammonia-Hydrogen-based Micro-Grids (AHMGs) to boost electricity-hydrogen-ammonia coupling under uncertainties. First, an off-grid AHMG model is developed, featuring a novel m
Externí odkaz:
http://arxiv.org/abs/2410.20485
Deploying models across diverse devices demands tradeoffs among multiple objectives due to different resource constraints. Arguably, due to the small model trap problem in multi-objective neural architecture search (MO-NAS) based on a supernet, exist
Externí odkaz:
http://arxiv.org/abs/2407.13122
In recent years, there has been a growing research interest in decision-focused learning, which embeds optimization problems as a layer in learning pipelines and demonstrates a superior performance than the prediction-focused approach. However, for d
Externí odkaz:
http://arxiv.org/abs/2406.16571
With the scaling up of crude oil scheduling in modern refineries, large-scale crude oil scheduling problems (LSCOSPs) emerge with thousands of binary variables and non-linear constraints, which are challenging to be optimized by traditional optimizat
Externí odkaz:
http://arxiv.org/abs/2401.10274
The online optimization of gasoline blending benefits refinery economies. However, the nonlinear blending mechanism, the oil property fluctuations, and the blending model mismatch bring difficulties to the optimization. To solve the above issues, thi
Externí odkaz:
http://arxiv.org/abs/2309.02929
Recent years have seen the rapid development of fairness-aware machine learning in mitigating unfairness or discrimination in decision-making in a wide range of applications. However, much less attention has been paid to the fairness-aware multi-obje
Externí odkaz:
http://arxiv.org/abs/2207.12138
Publikováno v:
In Applied Energy 1 November 2024 373
Autor:
Li, Ang, Lang, Ziqiang, Ni, Chuantao, Tian, Hao, Wang, Bing, Cao, Chenxi, Du, Wenli, Qian, Feng
Publikováno v:
In International Journal of Hydrogen Energy 11 October 2024 86:875-889
Publikováno v:
In Advanced Engineering Informatics October 2024 62 Part C
Publikováno v:
In Chinese Journal of Chemical Engineering October 2024 74:227-237