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pro vyhledávání: '"Cao, Yuji"'
The stochastic nature of renewable energy and load demand requires efficient and accurate solutions for probabilistic optimal power flow (OPF). Quantum neural networks (QNNs), which combine quantum computing and machine learning, offer computational
Externí odkaz:
http://arxiv.org/abs/2411.16117
This paper proposes a differentially private energy trading mechanism for prosumers in peer-to-peer (P2P) markets, offering provable privacy guarantees while approaching the Nash equilibrium with nearly socially optimal efficiency. We first model the
Externí odkaz:
http://arxiv.org/abs/2410.04787
Power dispatch is essential for providing stable, cost-effective, and eco-friendly electricity to society. However, traditional methods falter as power systems grow in scale and complexity, struggling with multitasking, swift problem-solving, and hum
Externí odkaz:
http://arxiv.org/abs/2408.03847
Autor:
Zhou, Xiyuan, Zhao, Huan, Cheng, Yuheng, Cao, Yuji, Liang, Gaoqi, Liu, Guolong, Liu, Wenxuan, Xu, Yan, Zhao, Junhua
In response to the urgent demand for grid stability and the complex challenges posed by renewable energy integration and electricity market dynamics, the power sector increasingly seeks innovative technological solutions. In this context, large langu
Externí odkaz:
http://arxiv.org/abs/2407.05365
Autor:
Cao, Yuji, Zhao, Huan, Cheng, Yuheng, Shu, Ting, Chen, Yue, Liu, Guolong, Liang, Gaoqi, Zhao, Junhua, Yan, Jinyue, Li, Yun
With extensive pre-trained knowledge and high-level general capabilities, large language models (LLMs) emerge as a promising avenue to augment reinforcement learning (RL) in aspects such as multi-task learning, sample efficiency, and high-level task
Externí odkaz:
http://arxiv.org/abs/2404.00282
Publikováno v:
In International Journal of Electrical Power and Energy Systems November 2023 153
End-to-end Spoken Language Understanding (SLU) is proposed to infer the semantic meaning directly from audio features without intermediate text representation. Although the acoustic model component of an end-to-end SLU system can be pre-trained with
Externí odkaz:
http://arxiv.org/abs/1909.10924
Akademický článek
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Publikováno v:
Quantum Machine Intelligence; December 2023, Vol. 5 Issue: 2
Publikováno v:
Proceedings of the 31st Chinese Control Conference; 1/ 1/2012, p5657-5662, 6p