Decomposition-based hybrid wind speed forecasting model using deep bidirectional LSTM networks
, 2021The goal of sustainable development can be attained by the efficient management of renewable energy resources. Wind energy is attracting attention worldwide due to its renewable and sustainable nature.
K. U. Jaseena, Binsu C. Kovoor
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Wind speed behaviors feather analysis and its utilization on wind speed prediction using 3D-CNN
Energy, 2021Xiaoxun Zhu, Xiaoxia Gao
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Short-term wind speed forecasting using recurrent neural networks with error correction
, 2021As a type of clean energy, wind energy has been effectively used in power systems. However, due to the influence of the atmospheric boundary layer, wind speed exhibits strong nonlinearity and nonstationarity. Therefore, the accurate and stable prediction
Jikai Duan +5 more
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Due to expanding global environmental issues and growing energy demand, wind power technologies have been studied extensively. Accurate and robust short-term wind speed forecasting is crucial for large-scale integration of wind power generation into the ...
M. Neshat +7 more
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Wind speed forecasting based on variational mode decomposition and improved echo state network
, 2021Accurate wind speed forecasting is conducive to power system operation, peak regulation, security analysis, and energy trading. This study proposes a hybrid model named VMD-DE-ESN incorporating variational mode decomposition (VMD) and differential ...
Huanling Hu, Linshan Wang, Rui Tao
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Multi-step wind speed prediction by combining a WRF simulation and an error correction strategy
, 2021The accurate prediction of wind speed is important in satisfying the demands of power grids. However, the prediction of wind speed is challenging because of its randomness and volatility, especially in multi-step cases.
Weifeng Xu +6 more
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Temporal convolutional networks interval prediction model for wind speed forecasting
, 2021Wind speed interval prediction is one of the most elusive and long-standing challenges in wind power production. As a data source with intermittent and fluctuant characteristics, wind speed time series require highly nonlinear temporal features for the ...
Zhenhao Gan +3 more
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A combined forecasting model for time series: Application to short-term wind speed forecasting
Applied Energy, 2020Wind speed forecasting has been growing in popularity, owing to the increased demand for wind power electricity generation and developments in wind energy competitiveness.
Zhenkun Liu +2 more
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Neuroadaptive Variable Speed Control of Wind Turbine With Wind Speed Estimation
IEEE Transactions on Industrial Electronics, 2016It is difficult to measure the wind speed accurately in short term. This reveals challenges for wind turbine control, especially for maximum power point tracking with adaptive control strategies. In this paper, a genetic algorithm based support vector machine model is adopted to estimate the wind speed, using physically measurable signals, such as the ...
Dan-Yong Li +5 more
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Wind speed estimation for wind turbine control
2012 IEEE International Conference on Control Applications, 2012In the literature, proposed control strategies for the efficiency of wind energy conversion systems are usually based on gain scheduling PI controller using the pitch angle to control the rotor speed. Focus is then only made on power production.
Ghizlane Hafidi, Jonathan Chauvin
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