Results 1 to 10 of about 14,302 (309)
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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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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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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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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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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Sequential Aggregation of Probabilistic Forecasts - Applicaton to Wind Speed Ensemble Forecasts [PDF]
Journal of the Royal Statistical Society Series C: Applied Statistics, 2021 <p>Sequential aggregation is a theoretically-grounded means to combine several forecasts of a quantity to achieve better forecast performance as evaluated by a loss function. This theory has been mainly applied to point forecasts with a scalar forecast quantity, but rarely to forecasts expressed in a probabilistic form.
Zamo, Michaël +2 more
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Short-Term Wind Speed Forecasting Model Based on Mutual Information and Recursive Neural Network
Shanghai Jiaotong Daxue xuebao, 2021 The volatility and randomness of wind speed have caused potential safety hazards to wind power grid integration. Improving wind speed forecasting is crucial to the stability of wind power systems and the development of wind energy.
WANG Yan, CHEN Yaoran, HAN Zhaolong, ZHOU Dai, BAO Yan
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Atmosphere, 2023 Wind speed forecasting is advantageous in reducing wind-induced accidents or disasters and increasing the capture of wind power. Accordingly, this forecasting process has been a focus of research in the field of engineering.
Xuhui He +3 more
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A combination forecasting model of wind speed based on decomposition
Energy Reports, 2021 Due to the intermittent, fluctuating and random characteristics of wind system, the output of wind power will become unstable with the change of wind, which brings severe challenges to the safe and stable operation of the power system.
Zhongda Tian, Hao Li, Feihong Li
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