Zobrazeno 1 - 10
of 561
pro vyhledávání: '"multi-step prediction"'
Publikováno v:
Shanghai Jiaotong Daxue xuebao, Vol 58, Iss 7, Pp 1108-1117 (2024)
To better predict the lateral displacements of diaphragm walls during deep excavation, a long short-term memory (LSTM) multi-step prediction model is developed in this paper based on the LSTM algorithm. First, the multi-output strategy of multi-step
Externí odkaz:
https://doaj.org/article/184d6d06f56944aca9a34c5c07f9cd8e
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-25 (2024)
Abstract Accurate penetration rate prediction enhances rock-breaking efficiency and reduces disc cutter damage in tunnel boring machine (TBM) construction. However, this process faces significant challenges such as the high uncertainty of ground cond
Externí odkaz:
https://doaj.org/article/938b451e7bff436dae0f8e228e36aee6
Autor:
Mengling Zhao, Xuan Zhou
Publikováno v:
IEEE Access, Vol 12, Pp 50755-50778 (2024)
To effectively mitigate and address the impact of wind power uncertainty on the efficient operation of the power grid, this study proposes a novel multi-step short-term wind power prediction model based on complementary ensemble empirical modal decom
Externí odkaz:
https://doaj.org/article/4abd5698c34140a696ee0c4849f39fd7
Publikováno v:
Systems Science & Control Engineering, Vol 12, Iss 1 (2024)
This paper proposes a novel phase-based short-term traffic flow prediction method based on parallel multi-task learning for isolated intersections. Different from traditional short-term traffic flow prediction methods, we take the traffic flow of eac
Externí odkaz:
https://doaj.org/article/26e88d86c3b840cb82fd1d90d88dfed7
Publikováno v:
Heliyon, Vol 10, Iss 12, Pp e31997- (2024)
To mitigate the impact of large-scale renewable energy power on the national grid in China, it is imperative to enhance the flexible peaking capability of coal-fired thermal power units. The coordinated control system, central to the load control of
Externí odkaz:
https://doaj.org/article/320e6dd26d5743389061e15392153239
Publikováno v:
Applied Sciences, Vol 14, Iss 17, p 7717 (2024)
The Internet of Things (IoT) is witnessing a surge in sensor-equipped devices. The data generated by these IoT devices serve as a critical foundation for informed decision-making, real-time insights, and innovative solutions across various applicatio
Externí odkaz:
https://doaj.org/article/466c4d771f64448aa55170e88cb6a9ec
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 8, p 1413 (2024)
This study addresses the challenges of predicting ship heave motion in real time, which is essential for mitigating sensor–actuator delays in high-performance active compensation control. Traditional methods often fall short due to training on spec
Externí odkaz:
https://doaj.org/article/5872171f6cf944b48c907fdf9040715f
Publikováno v:
IEEE Access, Vol 11, Pp 136692-136705 (2023)
Despite of its importance and potential, the research on the peak power forecasting has received little attention. The decrease of the peak power not only reduces operational expense, but also avoids outages especially during the peak demand season.
Externí odkaz:
https://doaj.org/article/e5dc001f3d674ea19b4ccbe958555724
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 1, Pp 998-1017 (2023)
As an essential water quality parameter in aquaculture ponds, dissolved oxygen (DO) affects the growth and development of aquatic animals and their feeding and absorption. However, DO is easily influenced by external factors. It is not easy to make s
Externí odkaz:
https://doaj.org/article/15861da967354016b4fb64519dbe609c
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 3, p 446 (2024)
The development of intelligent oceans requires exploration and an understanding of the various characteristics of the oceans. The emerging Internet of Underwater Things (IoUT) is an extension of the Internet of Things (IoT) to underwater environments
Externí odkaz:
https://doaj.org/article/161a8b52e77d4c7dbf1f33b79fa78bb7