Zobrazeno 1 - 10
of 1 549
pro vyhledávání: '"Wind speed forecasting"'
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
Publikováno v:
Energy Reports, Vol 11, Iss , Pp 287-303 (2024)
Accurate wind speed forecasting is crucial for efficiently integrating of wind power into the electrical grid and ensuring a stable power supply. However, wind speed is inherently noisy and unpredictable, making it challenging to forecast accurately.
Externí odkaz:
https://doaj.org/article/63fa99f537d04d0f85eca8d57db581d5
Publikováno v:
PeerJ Computer Science, Vol 10, p e2393 (2024)
The global impacts of climate change have become increasingly pronounced in recent years due to the rise in greenhouse gas emissions from fossil fuels. This trend threatens water resources, ecological balance, and could lead to desertification and dr
Externí odkaz:
https://doaj.org/article/2369b85055b94d8e8f1acd9c55c9ad47
Publikováno v:
IET Renewable Power Generation, Vol 18, Iss 7, Pp 1370-1379 (2024)
Abstract Developing accurate wind speed forecasting methods is indispensable to integrating wind energy into smart grids. However, current state‐of‐the‐art wind speed forecasting methods are almost data‐driven deep learning models, which may
Externí odkaz:
https://doaj.org/article/4cfd5a6eeca04a369d740b9428de5554
Publikováno v:
IET Renewable Power Generation, Vol 18, Iss 4, Pp 571-588 (2024)
Abstract Highly accurate wind speed prediction is one of the effective ways to improve wind energy utilization. Therefore, this study proposes a novel double‐layer neural network (D‐NN) framework based on feedforward neural networks. First, a fee
Externí odkaz:
https://doaj.org/article/f0857a55eede400bad827ca709aec336
Autor:
Mesfin Diro Chaka, Addisu Gezahegn Semie, Yedilfana Setarge Mekonnen, Chernet Amente Geffe, Hailemichael Kebede, Yonas Mersha, Fikru Abiko Anose, Natei Ermias Benti
Publikováno v:
Case Studies in Chemical and Environmental Engineering, Vol 9, Iss , Pp 100594- (2024)
Wind power plays a critical role in supporting Ethiopia's electricity generation, particularly during dry seasons when hydropower availability diminishes. This contribution becomes even more crucial for sustaining industrial growth. However, accurate
Externí odkaz:
https://doaj.org/article/509181ced7b94c8e881136dd65952389
Publikováno v:
Sustainable Energy Research, Vol 11, Iss 1, Pp 1-26 (2024)
Abstract The challenge of predicting wind speeds to facilitate site selection and the consistent operation of wind power plants in coastal regions is a global concern. The output of wind turbines is subject to fluctuations corresponding to changes in
Externí odkaz:
https://doaj.org/article/da93097ee2d04c869863a94a0aa53e0b
Publikováno v:
IEEE Access, Vol 12, Pp 73141-73159 (2024)
Accurate wind forecasting is essential for enhancing the stability and efficiency of wind power systems. However, the nonlinear and unstable characteristics of wind pose significant challenges to achieving high-performance predictions in this domain.
Externí odkaz:
https://doaj.org/article/ce974471e2944fbb989947dbab0832d8
Autor:
Lionel P. Joseph, Ravinesh C. Deo, David Casillas-Perez, Ramendra Prasad, Nawin Raj, Sancho Salcedo-Sanz
Publikováno v:
IEEE Access, Vol 12, Pp 58750-58777 (2024)
Wind, being a clean and sustainable resource, boasts environmental advantages. However, its electricity generation faces challenges due to unpredictable variations in wind speed (WS). Accurate predictions of these variations would allow mixed grids t
Externí odkaz:
https://doaj.org/article/8c32f944f5c749a08ec15209e19e009b
Publikováno v:
Nature Environment and Pollution Technology, Vol 22, Iss 4, Pp 1781-1793 (2023)
Over the past decades, energy forecasting has attracted many researchers. The electrification of the modern world influences the necessity of electricity load, wind energy, and solar energy forecasting in power sectors. Energy demand increases with t
Externí odkaz:
https://doaj.org/article/a762c3b54dc74025a9ceecfd0ede1566