Results 201 to 210 of about 6,815,005 (225)
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IEEE transactions on power electronics, 2023
The increasing penetration of offshore wind power generation promotes the revolution of wind turbine toward high-power application. The development of high-power wind turbine undoubtedly poses new technical challenges.
Pedro Catalán +3 more
semanticscholar +1 more source
The increasing penetration of offshore wind power generation promotes the revolution of wind turbine toward high-power application. The development of high-power wind turbine undoubtedly poses new technical challenges.
Pedro Catalán +3 more
semanticscholar +1 more source
Improved Deep Mixture Density Network for Regional Wind Power Probabilistic Forecasting
IEEE Transactions on Power Systems, 2020Unsteady motion of the atmosphere incurs nonlinear and spatiotemporally coupled uncertainties in the wind power prediction (WPP) of multiple wind farms.
Hao Zhang +5 more
semanticscholar +1 more source
Short‐term wind power forecasting based on two‐stage attention mechanism
IET Renewable Power Generation, 2020Wind power is usually closely related to the meteorological information around the wind farm, which leads to the fluctuation of wind power and makes it difficult to predict precisely. In this study, a wind power forecasting model based on long-short-term
Pengbo Li, Xiangwen Wang, Jun-jie Yang
semanticscholar +1 more source
, 2005
As environmental concerns have focussed attention on the generation of electricity from clean and renewable sources, wind energy has become the world's fastest growing energy source.
T. Ackermann
semanticscholar +1 more source
As environmental concerns have focussed attention on the generation of electricity from clean and renewable sources, wind energy has become the world's fastest growing energy source.
T. Ackermann
semanticscholar +1 more source
Wind Power Curve Modeling and Wind Power Forecasting With Inconsistent Data
IEEE Transactions on Sustainable Energy, 2019Wind power curve modeling is a challenging task due to the existence of inconsistent data, in which the recorded wind power is far away from the theoretical wind power at a given wind speed.
Yun Wang, Q. Hu, D. Srinivasan, Z. Wang
semanticscholar +1 more source
Multi‐step wind power forecast based on VMD‐LSTM
IET Renewable Power Generation, 2019To improve the accuracy of multi-step wind power forecast, a variational mode decomposition-long short-term memory (VMD-LSTM) forecast method is proposed. Firstly, the variational mode decomposition method is adopted to decompose the wind power data into
Li Han +4 more
semanticscholar +1 more source
Grid-Connected Wind Power Plants: A Survey on the Integration Requirements in Modern Grid Codes
IEEE/IAS Industrial and Commercial Power Systems Technical Conference, 2019In recent years, the integration of wind power generation, especially for offshore wind power, has increased rapidly. Therefore, the requirements of grid codes on wind power integration becomes a major factor in the power system reliability.
Yuan-Kang Wu, Shih-Ming Chang, P. Mandal
semanticscholar +1 more source
IEEE Transactions on Power Systems, 2019
Large-scale wind power cluster with distributed wind farms has generated the active power dispatch and control problems in the power system. In this paper, a novel hierarchical model predictive control (HMPC) strategy based on dynamic active power ...
Lin Ye +8 more
semanticscholar +1 more source
Large-scale wind power cluster with distributed wind farms has generated the active power dispatch and control problems in the power system. In this paper, a novel hierarchical model predictive control (HMPC) strategy based on dynamic active power ...
Lin Ye +8 more
semanticscholar +1 more source
A review of wind speed and wind power forecasting with deep neural networks
Applied Energy, 2021Yun Wang +4 more
semanticscholar +1 more source
Wind power forecast using neural networks: Tuning with optimization techniques and error analysis
Wind Energy, 2019The increased integration of wind power into the power system implies many challenges to the network operators, mainly due to the hard to predict and variability of wind power generation.
Gonçalo Nazaré +2 more
semanticscholar +1 more source