Results 31 to 40 of about 3,633,789 (192)
A Novel Self-Adaptive Wind Speed Prediction Model Considering Atmospheric Motion and Fractal Feature
Many of the previous investigations predicted wind speed by directly using wind speed data, which rarely considered physical characteristics of wind speed and was difficult to improve prediction accuracy further.
Ji Jin +4 more
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Wind Speed Prediction via Collaborative Filtering on Virtual Edge Expanding Graphs
Accurate and stable wind speed prediction is crucial for the safe operation of large-scale wind power grid connections. Existing methods are typically limited to a certain fixed area when learning the information of the wind speed sequence, which cannot ...
Xiang Ying +6 more
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Wind speed prediction based on multi-channel long short-term memory convolution neural network
A wind speed prediction method based on the combination of multi-channel long short-term memory network and convolution neural network is proposed to improve the prediction performance of wind speed.
XIU Chunbo, SU Huan, SU Xuemiao
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A Method Based on Lorenz Disturbance and Variational Mode Decomposition for Wind Speed Prediction
Wind power is one of the most promising means of power generation. But the time-varying of wind speed is the most fundamental problem for power generation control system. Therefore, accurate wind speed prediction becomes particularly important. However,
ZHANG, Y., GAO, S., BAN, M., SUN, Y.
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To support high-level wind energy utilization, wind power prediction has become a more and more attractive topic. To improve prediction accuracy and flexibility, joint point-interval prediction of wind power via a stepwise procedure is studied in this ...
Yang Hu +4 more
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Accurate and stable wind speed prediction can alleviate the uncertain impacts of wind power generation caused by nonlinear characteristics of wind speed, and then improve the reliability of wind power.
Yuanchen Gao +6 more
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With increasing penetration of wind power, accurate prediction of wind speed is essential for planning and operation of power grids. In this paper, a novel two-dimensional (2D) convolutional neural network (CNN)-based wind speed forecasting technique is ...
Mohammadhossein Nazemi +2 more
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Short-Term Wind Speed Prediction Based on Principal Component Analysis and LSTM
An accurate prediction of wind speed is crucial for the economic and resilient operation of power systems with a high penetration level of wind power.
Dawei Geng, Haifeng Zhang, Hongyu Wu
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To satisfy the grid operation scheduling requirements for wind power forecasting model accuracy, the measured wind speed near the height of the wind turbine hub is added to the wind power combined forecasting model.
Mao Yang +5 more
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Short term prediction of wind speed based on long-short term memory networks [PDF]
Power utilities, developers, and investors are pushing towards larger penetrations of wind and solar energy-based power generation in their existing energy mix. This study, specifically, looks towards wind power deployment in Saudi Arabia. For profitable
Salman Umar T. +3 more
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