A combined model for short-term wind speed forecasting based on empirical mode decomposition, feature selection, support vector regression and cross-validated lasso [PDF]
PeerJ Computer Science, 2021 Background The planning and control of wind power production rely heavily on short-term wind speed forecasting. Due to the non-linearity and non-stationarity of wind, it is difficult to carry out accurate modeling and prediction through traditional wind ...
Tao Wang
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Wind Speed Ensemble Forecasting Based on Deep Learning Using Adaptive Dynamic Optimization Algorithm
IEEE Access, 2021 The development and deployment of an effective wind speed forecasting technology can improve the safety and stability of power systems with significant wind penetration.
Abdelhameed Ibrahim +6 more
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Variable Support Segment-Based Short-Term Wind Speed Forecasting
Energies, 2022 Accurate short-term wind speed forecasting plays an important role in the development of wind energy. However, the inertia of airflow means that wind speed has the properties of time variance and inertia, which pose a challenge in the task of wind speed ...
Ke Zhang, Xiao Li, Jie Su
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Applied Sciences, 2021 Wind speed and wind power are two important indexes for wind farms. Accurate wind speed and power forecasting can help to improve wind farm management and increase the contribution of wind power to the grid.
Qingguo Zhou, Qingquan Lv, Gaofeng Zhang
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A Hybrid Approach for ShortâTerm Forecasting of Wind Speed [PDF]
The Scientific World Journal, 2013 We propose a hybrid method for forecasting the wind speed. The wind speed data is first decomposed into intrinsic mode functions (IMFs) with empirical mode decomposition. Based on the partial autocorrelation factor of the individual IMFs, adaptive methods are then employed for the prediction of IMFs.
Sivanagaraja Tatinati +1 more
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Performance enhancement of short-term wind speed forecasting model using Realtime data. [PDF]
PLoS ONEThe ever-increasing demand for electricity has presented a grave threat to traditional energy sources, which are finite, rapidly depleting, and have a detrimental environmental impact.
Maria Ashraf +4 more
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A Hybrid Forecasting Method for Wind Speed [PDF]
MATEC Web of Conferences, 2018 Wind energy is one of the most widely used renewable energy sources. Wind power generation is uncertain because of the intermittent of wind power. To reduce the influence of wind power generation on the power system, it is necessary to forecast wind speed.
Jian Jiao, Jiao Jian
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An AI-Based Hybrid Forecasting Model for Wind Speed Forecasting
, 2017 Forecasting of wind speed plays an important role in wind power prediction for management of wind energy. Due to intermittent nature of wind, accurately forecasting of wind speed has been a long standing research challenge. Artificial neural networks (ANNs) is one of promising approaches to predict wind speed.
Haiyan Lu, Jiani Heng, Chen Wang
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An Advanced Hybrid Forecasting System for Wind Speed Point Forecasting and Interval Forecasting
Complexity, 2020 Ultra-short-term wind speed prediction can assist the operation and scheduling of wind turbines in the short term and further reduce the adverse effects of wind power integration. However, as wind is irregular, nonlinear, and nonstationary, to accurately
Haipeng Zhang, Hua Luo
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A Hybrid Wavelet Transform Based Short-Term Wind Speed Forecasting Approach [PDF]
The Scientific World Journal, 2014 It is important to improve the accuracy of wind speed forecasting for wind parks management and wind power utilization. In this paper, a novel hybrid approach known as WTT-TNN is proposed for wind speed forecasting.
Jujie Wang
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