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Energy Reports, 2022 The intermittency and randomness of wind speed time series influence the forecasting accuracy. To figure out this problem and enhance the forecasting performance, a novel compound structure is developed for short-term wind speed forecasting.
Sizhou Sun +4 more
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A Review of Wind Speed and Wind Power Forecasting Techniques
CoRR, 2020 11 ...
Harsh S. Dhiman, Dipankar Deb
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Artificial Intelligence in Wind Speed Forecasting: A Review
Energies, 2023 Wind energy production has had accelerated growth in recent years, reaching an annual increase of 17% in 2021. Wind speed plays a crucial role in the stability required for power grid operation. However, wind intermittency makes accurate forecasting a complicated process.
Sandra Minerva Valdivia-Bautista +4 more
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Advances in Meteorology, 2020 The accurate, efficient, and reliable forecasting of wind speed is a hot research topic in wind power generation and integration. However, available forecasting models focus on forecasting the wind speed using historical wind speed data and ignore ...
He Jiang, Luo Shihua, Yao Dong
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Short-Term Wind Speed Forecasting Based on Information of Neighboring Wind Farms
IEEE Access, 2020 To address the uncertainty caused by integrating wind power into the electricity grid, accurate wind speed forecasting is highly desired. However, historical wind speed data of new wind farms may be insufficient for training a well-performed forecasting ...
Zhongju Wang +4 more
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International Journal of Sustainable Energy, 2022 The extensive grid integration of wind electricity necessitates accurate wind speed forecasting to maintain grid stability and quality of power. In the usual practice of wind speed forecasting using machine learning models, the models are trained and ...
P. Valsaraj +2 more
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Wind speed forecasting using Singular Systems Analysis [PDF]
, 2013 We report on a method to predict wind speeds up to 24 hours ahead using a technique originating in Dynamical Systems and Chaos theory using a signal processing technique known as Singular Systems Analysis.The method predicts wind speeds based on a set of
Fruh, Wolf-Gerrit; id_orcid +3 more
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Verification of European Subseasonal Wind Speed Forecasts [PDF]
Monthly Weather Review, 2014 Abstract Analysis of the forecasts and hindcasts from the ECMWF 32-day forecast model reveals that there is statistically significant skill in predicting weekly mean wind speeds over areas of Europe at lead times of at least 14–20 days. Previous research on wind speed predictability has focused on the short- to medium-range time scales ...
Lynch, Kieran J. +2 more
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Wind forecasting using Principal Component Analysis [PDF]
, 2014 We present a new statistical wind forecasting tool based on Principal Component Analysis (PCA), which is trained on past data to predict the wind speed using an ensemble of dynamically similar past events.
Fruh, Wolf-Gerrit; id_orcid +3 more
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IEEE Access, 2019 Precise wind speed prediction is increasingly practical for sustained and stable wind energy utilization considering the growing portion of wind energy in the global electric grid. Although plenty of wind speed forecasting approaches have been devoted to
Lifang Zhang, Yao Dong, Jianzhou Wang
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