Zobrazeno 1 - 10
of 2 782
pro vyhledávání: '"Wind power forecasting"'
Autor:
Moussa Belletreche, Nadjem Bailek, Mostafa Abotaleb, Kada Bouchouicha, Bilel Zerouali, Mawloud Guermoui, Alban Kuriqi, Amal H. Alharbi, Doaa Sami Khafaga, Mohamed EL-Shimy, El-Sayed M. El-kenawy
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract This study introduces an optimized hybrid deep learning approach that leverages meteorological data to improve short-term wind energy forecasting in desert regions. Over a year, various machine learning and deep learning models have been tes
Externí odkaz:
https://doaj.org/article/7fa2f36a9d6f40df86087ed17e1dd392
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 13, Iss 1, Pp 1-14 (2024)
Abstract With the support of our government’s commitment to the energy sector, the installed capacity of wind power will continue to grow. However, due to the instability of wind power, accurate prediction of wind power output is essential for effe
Externí odkaz:
https://doaj.org/article/c42e48fe07c84775bd232ea11ddaa674
Publikováno v:
Energy Reports, Vol 11, Iss , Pp 736-744 (2024)
Wind Power Forecasting has emerged as a critical and dynamic research area in response to the growing demand for renewable energy. The unpredictable and stochastic nature of wind conditions, encompassing factors such as wind speed, wind direction, ai
Externí odkaz:
https://doaj.org/article/1f1f6127f90942d58eacd424c5a5f43a
Publikováno v:
Energy Reports, Vol 11, Iss , Pp 97-114 (2024)
Wind power forecasting plays a significant role in regulating the peak and frequency of the power system, which can improve the wind power receiving capacity. Despite plenty of forecasting methods have been proposed to fortify the accuracy of forecas
Externí odkaz:
https://doaj.org/article/de3c6ac048414594b06fb4d5eb124c50
Publikováno v:
Heliyon, Vol 10, Iss 21, Pp e39579- (2024)
Wind is a renewable energy source that is used to generate electricity. Wind power is one of the suitable solutions for global warming since it is free from pollution, doesn't cause greenhouse effects, and it is a natural source of energy. However, W
Externí odkaz:
https://doaj.org/article/4303d432dbad4578b43151b75ccf4a26
Publikováno v:
International Journal of Electrical Power & Energy Systems, Vol 160, Iss , Pp 110059- (2024)
Wind energy is increasingly vital globally, requiring precise output forecasting for stable, efficient power systems. However, this becomes particularly challenging for newly built wind farms that lack historical data. Statistical models are unsuitab
Externí odkaz:
https://doaj.org/article/acef958032e64d8698cc6278e898e97f
Publikováno v:
Results in Engineering, Vol 23, Iss , Pp 102504- (2024)
Accurate wind power prediction is critical for efficient grid management and the integration of renewable energy sources into the power grid. This study presents an effective deep-learning approach that improves short-term wind power forecasting accu
Externí odkaz:
https://doaj.org/article/721e9dd10236449e925de32a119933b1
Publikováno v:
Systems Science & Control Engineering, Vol 12, Iss 1 (2024)
The dependence of wind power on the natural environment leads to volatility, which can cause hidden dangers to the safe and stable operation of the power grid. In this work, a deep learning-based GoogLeNet-embedded no-pooling dimension fully-connecte
Externí odkaz:
https://doaj.org/article/0c438e8a437942648e44527f759410f0
Autor:
Lefeng Cheng, Linfei Yin
Publikováno v:
Frontiers in Energy Research, Vol 12 (2024)
Externí odkaz:
https://doaj.org/article/6e20778fb756468dbf44f54e1c12cbfc
Publikováno v:
e-Prime: Advances in Electrical Engineering, Electronics and Energy, Vol 8, Iss , Pp 100511- (2024)
The rapid rate of transformation in the power sector of India has placed a significant emphasis on robust grids and distributed generation units. The observable shift in the energy sector, especially in wind and solar energy, also requires smooth int
Externí odkaz:
https://doaj.org/article/4aa09620b6314b77879aebe59749c6b6