Zobrazeno 1 - 10
of 15 245
pro vyhledávání: '"speed forecasting"'
Tidal energy is one of the key components in increasing the penetration rate of renewable energy. The penetration of tidal energy in the electrical grid depends on the accuracy of tidal current speed forecasting. Modeling inaccuracies hinder forecast
Externí odkaz:
http://arxiv.org/abs/2410.09718
Autor:
Yekun, Ephrem Admasu, Fitwib, Alem H., Subramaniand, Selvi Karpaga, Kumard, Anubhav, Tella, Teshome Goa
Owing to its minimal pollution and efficient energy use, wind energy has become one of the most widely exploited renewable energy resources. The successful integration of wind power into the grid system is contingent upon accurate wind speed forecast
Externí odkaz:
http://arxiv.org/abs/2408.17185
Global environmental challenges and rising energy demands have led to extensive exploration of wind energy technologies. Accurate wind speed forecasting (WSF) is crucial for optimizing wind energy capture and ensuring system stability. However, predi
Externí odkaz:
http://arxiv.org/abs/2408.15737
Autor:
He, Yingying1,2 (AUTHOR) 622170086019@mails.cqjtu.edu.cn, Zhang, Likai3 (AUTHOR) guantengda@stu.cqu.edu.cn, Guan, Tengda3 (AUTHOR) zhangzheyu@stu.cqu.edu.cn, Zhang, Zheyu3 (AUTHOR)
Publikováno v:
Energies (19961073). Sep2024, Vol. 17 Issue 18, p4615. 28p.
Human mobility is intricately influenced by urban contexts spatially and temporally, constituting essential domain knowledge in understanding traffic systems. While existing traffic forecasting models primarily rely on raw traffic data and advanced d
Externí odkaz:
http://arxiv.org/abs/2407.17703
Wind flow can be highly unpredictable and can suffer substantial fluctuations in speed and direction due to the shape and height of hills, mountains, and valleys, making accurate wind speed (WS) forecasting essential in complex terrain. This paper pr
Externí odkaz:
http://arxiv.org/abs/2408.15554
Autor:
Mugware, Fhulufhelo Walter1 (AUTHOR), Sigauke, Caston1 (AUTHOR) caston.sigauke@univen.ac.za, Ravele, Thakhani1 (AUTHOR) 22020643@mvula.univen.ac.za
Publikováno v:
Forecasting. Sep2024, Vol. 6 Issue 3, p672-699. 28p.
Autor:
Huang, Haojian
The accurate wind speed series forecast is very pivotal to security of grid dispatching and the application of wind power. Nevertheless, on account of their nonlinear and non-stationary nature, their short-term forecast is extremely challenging. Ther
Externí odkaz:
http://arxiv.org/abs/2404.11422
Autor:
Quoc Bao Phan, Tuy Tan Nguyen
Publikováno v:
ICT Express, Vol 10, Iss 3, Pp 485-490 (2024)
This study introduces an advanced artificial model, grey wolf optimization (GWO)-nested complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN)-convolutional neural network (CNN)-bidirectional long short-term memory (BiLSTM), for
Externí odkaz:
https://doaj.org/article/d25f01e54af24bc1bc6f466fee5e2b3c
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.