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Wind Speed Prediction Based on Error Compensation [PDF]
Sensors, 2023 Wind speed prediction is very important in the field of wind power generation technology. It is helpful for increasing the quantity and quality of generated wind power from wind farms.
Xuguo Jiao +5 more
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Wind Speed Prediction Research Considering Wind Speed Ramp and Residual Distribution [PDF]
IEEE Access, 2019 The random fluctuation of wind leads to the instability of wind power, particularly wind power intermittency is a critical event in case of grid connected power plants, leading to severe consequences like low system reliability, high reserve capacity and
Yagang Zhang +3 more
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Improved Prediction of Wind Speed using Machine Learning [PDF]
EAI Endorsed Transactions on Energy Web, 2019 The prediction of wind speed plays a significant role in wind energy systems. An accurate prediction of wind speed is more important for wind energy systems, but it is difficult due to its uncertain nature.
Senthil Kumar P
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A machine learning model for hub-height short-term wind speed prediction [PDF]
Nature CommunicationsAccurate short-term wind speed prediction is crucial for maintaining the safe, stable, and efficient operation of wind power systems. We propose a multivariate meteorological data fusion wind prediction network (MFWPN) to study fine-grid vector wind ...
Zongwei Zhang +5 more
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Energy Reports, 2023 The ability to estimate wind speed accurately is crucial for optimizing the utilization of wind energy in power systems. The randomness of wind speed and the performance of prediction models are the two issues that have the greatest impact on wind speed ...
He Wang +3 more
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Wind speed prediction using a hybrid model of EEMD and LSTM considering seasonal features
Energy Reports, 2022 As a clean and renewable energy source, wind power is of great significance for addressing global energy shortages and environmental pollution. However, the uncertainty of wind speed hinders the direct use of wind power, resulting in a high proportion of
Yi Yan +4 more
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Wind Speed Forecast Based on the LSTM Neural Network Optimized by the Firework Algorithm
Advances in Materials Science and Engineering, 2021 Wind energy is a renewable energy source with great development potential, and a reliable and accurate prediction of wind speed is the basis for the effective utilization of wind energy.
Bilin Shao +3 more
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Bayesian predictive models for Rayleigh wind speed [PDF]
2017 IEEE 17th International Conference on Ubiquitous Wireless Broadband (ICUWB), 2017 One of the major challenges with the increase in wind power generation is the uncertain nature of wind speed. So far the uncertainty about wind speed has been presented through probability distributions. Also the existing models that consider the uncertainty of the wind speed primarily view the distributions of the wind speed over a wind farm as being ...
Amir Shahirinia +2 more
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Frontiers in Energy Research, 2023 Introduction: In the field of wind power generation, short-term wind speed prediction plays an increasingly important role as the foundation for effective utilization of wind energy.
Lu Wang, Lu Wang, Yilan Liao
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Energy Reports, 2022 Wind speed prediction plays an essential role in wind energy utilization. However, most existing studies of wind speed forecasting used data from one location to build models and forecasts, which limited the accuracy of wind speed forecasting. Therefore,
Lili Wang +3 more
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