Results 11 to 20 of about 3,633,789 (192)
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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Short-term wind speed prediction using Extended Kalman filter and machine learning
Energy Reports, 2021 Wind speed prediction could play an important role in improving the performance of wind turbine control and condition monitoring. For example, by predicting or forecasting the upcoming wind in advance, fluctuations in wind power output in above rated ...
Sung-ho Hur
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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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A cyclo-stationary complex multichannel wiener filter for the prediction of wind speed and direction [PDF]
, 2013 This paper develops a linear predictor for application to wind speed and direction forecasting in time and across different sites. The wind speed and direction are modelled via the magnitude and phase of a complex-valued time-series.
Dowell, Jethro +4 more
core +5 more sources
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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Short-term wind prediction using an ensemble of particle swarm optimised FIR filters [PDF]
, 2013 Due to the large and increasing penetration of wind power around the world, accurate power production forecasts are required to manage power systems and wind power plants.
Dowell, Jethro, Weiss, Stephan
core +4 more sources
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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