Works matching Wind power
Results: 5000
Computation and Analysis of an Offshore Wind Power Forecast: Towards a Better Assessment of Offshore Wind Power Plant Aerodynamics.
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- Energies (19961073), 2022, v. 15, n. 12, p. 4223, doi. 10.3390/en15124223
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- Article
Locational Marginal Pricing and Daily Operation Scheduling of a Hydro-Thermal-Wind-Photovoltaic Power System Using BESS to Reduce Wind Power Curtailment.
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- Energies (19961073), 2021, v. 14, n. 5, p. 1441, doi. 10.3390/en14051441
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Simulating wind power forecast error distributions for spatially aggregated wind power plants.
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- Wind Energy, 2020, v. 23, n. 1, p. 45, doi. 10.1002/we.2410
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Robust Wind Power Ramp Control Strategy Considering Wind Power Uncertainty.
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- Electronics (2079-9292), 2024, v. 13, n. 1, p. 211, doi. 10.3390/electronics13010211
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Reactive Power Capability Model of Wind Power Plant Using Aggregated Wind Power Collection System.
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- Energies (19961073), 2019, v. 12, n. 9, p. 1607, doi. 10.3390/en12091607
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- Article
基于 GRA-ISSA-SVR-EC 模型的风电功率组合预测方法.
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- Journal of Guangxi Normal University - Natural Science Edition, 2023, v. 41, n. 4, p. 61, doi. 10.16088/j.issn.1001-6600.2022103001
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基于EEMD-GA-BP 模型的风电功率短期预测研究.
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- Journal of Guangxi Normal University - Natural Science Edition, 2022, v. 40, n. 1, p. 166, doi. 10.16088/j.issn.1001-6600.2021060912
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提升海上风电经柔直联网系统频率稳定性的协调控制策略.
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- Electric Power Automation Equipment / Dianli Zidonghua Shebei, 2023, v. 43, n. 9, p. 194, doi. 10.16081/j.epae.202304022
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基于气象特征挖掘和改进深度学习模型的 风电功率短期预测.
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- Electric Power Automation Equipment / Dianli Zidonghua Shebei, 2023, v. 43, n. 3, p. 110, doi. 10.16081/j.epae.202208019
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风电跟踪调度计划时降低寿命损耗的 电池储能分组控制策略.
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- Electric Power Automation Equipment / Dianli Zidonghua Shebei, 2023, v. 43, n. 3, p. 54, doi. 10.16081/j.epae.202209016
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考虑综合能源聚合商与配电公司利益均衡的 配电网故障恢复方法.
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- Electric Power Automation Equipment / Dianli Zidonghua Shebei, 2023, v. 43, n. 3, p. 38, doi. 10.16081/j.epae.202209002
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计及误差时间相依性的风电功率超短期条件概率预测.
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- Electric Power Automation Equipment / Dianli Zidonghua Shebei, 2022, v. 42, n. 11, p. 40, doi. 10.16081/j.epae.202205011
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基于隐式最大似然估计的风电出力场景生成.
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- Electric Power Automation Equipment / Dianli Zidonghua Shebei, 2022, v. 42, n. 11, p. 56, doi. 10.16081/j.epae.202205006
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提升海上风电经 VSC-MTDC 接入的低惯量系统 频率稳定综合控制策略.
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- Electric Power Automation Equipment / Dianli Zidonghua Shebei, 2022, v. 42, n. 8, p. 103, doi. 10.16081/j.epae.202206003
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消纳风电预测偏差功率的电采暖负荷群运行调度策略.
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- Electric Power Automation Equipment / Dianli Zidonghua Shebei, 2022, v. 42, n. 7, p. 168, doi. 10.16081/j.epae.202205029
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Development of a city-type compact wind power generation system.
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- Electrical Engineering in Japan, 2007, v. 158, n. 2, p. 56, doi. 10.1002/eej.20440
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Has the Wind Power Price Policy Promoted the High-Quality Development of China's Wind Power Industry?—Analysis Based on Total Factor Productivity.
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- Sustainability (2071-1050), 2023, v. 15, n. 11, p. 8878, doi. 10.3390/su15118878
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Research on Power System Day-Ahead Generation Scheduling Method Considering Combined Operation of Wind Power and Pumped Storage Power Station.
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- Sustainability (2071-1050), 2023, v. 15, n. 7, p. 6208, doi. 10.3390/su15076208
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Alterable Electricity Pricing Mechanism Considering the Deviation of Wind Power Prediction.
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- Sustainability (2071-1050), 2020, v. 12, n. 5, p. 1848, doi. 10.3390/su12051848
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A Day-Ahead Wind Power Scenario Generation, Reduction, and Quality Test Tool.
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- Sustainability (2071-1050), 2017, v. 9, n. 5, p. 864, doi. 10.3390/su9050864
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Just sustainabilities: lessons from the Lake Turkana Wind Power project in Kenya.
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- Local Environment, 2024, v. 29, n. 1, p. 40, doi. 10.1080/13549839.2023.2249497
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THE RELEVANCE ASSESSMENT OF THE LAND USE FOR WIND POWER ENGINEERING IN SETTLEMENTS OF LVIV REGION.
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- Geodesy & Cartography, 2019, v. 45, n. 4, p. 154, doi. 10.3846/gac.2019.9632
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Uwarunkowania przyrodnicze lokalizacji elektrowni wiatrowych w gminie Szadek.
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- Bulletin Szadkowski, 2021, v. 21, p. 109, doi. 10.18778/1643-0700.21.06
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THE ACTORS OF A WIND POWER CLUSTER: A CASE OF A WIND POWER CAPITAL.
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- Journal of Urban & Environmental Engineering, 2013, v. 7, n. 1, p. 143, doi. 10.4090/juee.2013.v7n1.143150
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Ayrık dalgacık dönüşümü ve Xgboost ile rüzgâr gücü tahmini.
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- International Journal of Technological Sciences / Uluslararasi Teknolojik Bilimler Dergisi, 2022, v. 14, n. 2, p. 58, doi. 10.55974/utbd.1132336
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Capacity Optimization Configuration of Hydrogen Production System for Offshore Surplus Wind Power.
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- Energy Engineering, 2023, v. 120, n. 12, p. 2803, doi. 10.32604/ee.2023.042328
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Economic power control for offshore wind farms with loop connection cables.
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- Automatisierungstechnik, 2020, v. 68, n. 9, p. 765, doi. 10.1515/auto-2020-0067
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Impacts of local governments' wind power policy and preferences on wind power development: an empirical analysis of China.
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- Environment, Development & Sustainability, 2025, v. 27, n. 2, p. 4285, doi. 10.1007/s10668-023-04076-1
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Aggregated wind power characteristic curves and artificial intelligence for the regional wind power infeed estimation.
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- Electrical Engineering, 2024, v. 106, n. 1, p. 655, doi. 10.1007/s00202-023-02005-z
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- Article
Determine the Scope of influence and Impact Due to Noise from Wind Turbines During the Operation of Wind Power Plant Project No. 3 -- Soc Trang Province.
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- Inzynieria Mineralna, 2022, v. 50, n. 2, p. 141, doi. 10.29227/IM-2022-02-18
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A Wind Power Fluctuation Smoothing Control Strategy for Energy Storage Systems Considering the State of Charge.
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- Energies (19961073), 2024, v. 17, n. 13, p. 3132, doi. 10.3390/en17133132
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Modeling and Simulation of a Large-Scale Wind Power Plant Considering Grid Code Requirements.
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- Energies (19961073), 2023, v. 16, n. 6, p. 2897, doi. 10.3390/en16062897
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- Article
Ultra-Short-Term Prediction Method of Wind Power for Massive Wind Power Clusters Based on Feature Mining of Spatiotemporal Correlation.
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- Energies (19961073), 2023, v. 16, n. 6, p. 2727, doi. 10.3390/en16062727
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- Article
Active Power Cooperative Control for Wind Power Clusters with Multiple Temporal and Spatial Scales.
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- Energies (19961073), 2022, v. 15, n. 24, p. 9453, doi. 10.3390/en15249453
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Wind Power Consumption Model Based on the Connection between Mid- and Long-Term Monthly Bidding Power Decomposition and Short-Term Wind-Thermal Power Joint Dispatch.
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- Energies (19961073), 2022, v. 15, n. 19, p. 7201, doi. 10.3390/en15197201
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Distributed Active Power Optimal Dispatching of Wind Farm Cluster Considering Wind Power Uncertainty.
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- Energies (19961073), 2022, v. 15, n. 7, p. 2706, doi. 10.3390/en15072706
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- Article
基于NGBoost的可解释风电功率概率预测.
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- Zhejiang Electric Power, 2023, v. 42, n. 3, p. 28, doi. 10.19585/j.zjdl.202303004
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考虑风电时空相关性的电气互联系统分布式 优化调度.
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- Zhejiang Electric Power, 2023, v. 42, n. 3, p. 9, doi. 10.19585/j.zjdl.202303002
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Theoretical Analysis of the Operation of a Multi-Unit Wind Power Plant in Conditions of a Shortage of Wind Power.
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- Applied Solar Energy (19349424), 2023, v. 59, n. 4, p. 568, doi. 10.3103/S0003701X22601004
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Status Quo, Development and Utilization Efficiencies of Wind Power in China.
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- Processes, 2021, v. 9, n. 12, p. 2133, doi. 10.3390/pr9122133
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Overview of Offshore Wind Power Technologies.
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- Sustainability (2071-1050), 2025, v. 17, n. 2, p. 596, doi. 10.3390/su17020596
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Offshore Wind Power: Progress of the Edge Tool, Which Can Promote Sustainable Energy Development.
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- Sustainability (2071-1050), 2024, v. 16, n. 17, p. 7810, doi. 10.3390/su16177810
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Hybrid PSO-BP Neural Network Approach for Wind Power Forecasting.
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- International Energy Journal, 2017, v. 17, n. 4, p. 211
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A Study on Short‐Term Wind Power Forecasting Method Based on Wind Speed Spatio‐Temporal Calibration and Power Self‐adaptive Correction.
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- IEEJ Transactions on Electrical & Electronic Engineering, 2023, v. 18, n. 10, p. 1607, doi. 10.1002/tee.23892
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Geographic aggregation of wind power-an optimization methodology for avoiding low outputs.
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- Wind Energy, 2017, v. 20, n. 1, p. 19, doi. 10.1002/we.1987
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Impact of wind on secondary regulating power and energy in the Spanish system.
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- Wind Energy, 2016, v. 19, n. 12, p. 2337, doi. 10.1002/we.1984
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Maximum wind power generation in a power system imposed by system inertia and primary reserve requirements.
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- Wind Energy, 2015, v. 18, n. 8, p. 1501, doi. 10.1002/we.1773
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Enhancing wind power monitoring through motion deblurring with modified GoogleNet algorithm: Enhancing wind power monitoring through motion deblurring with modified GoogleNet algorithm: P. Chillakuru et al.
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- Soft Computing - A Fusion of Foundations, Methodologies & Applications, 2024, v. 28, n. 23, p. 13965, doi. 10.1007/s00500-023-08358-8
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An Integrated Scheme for Forecasting and Controlling Ramps in Offshore Wind Farms Considering Wind Power Uncertainties during Extreme Storms.
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- Electronics (2079-9292), 2023, v. 12, n. 21, p. 4443, doi. 10.3390/electronics12214443
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Wind Turbine Power Curve Modelling with Logistic Functions Based on Quantile Regression.
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- Applied Sciences (2076-3417), 2021, v. 11, n. 7, p. 3048, doi. 10.3390/app11073048
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