NSTL国家科技图书文献中心

1. A modular multi-step forecasting method for offshore wind power clusters NSTL国家科技图书文献中心

Fang L. | He B.... - 《Applied energy》 - 2025,380(Feb.15) - 1.1～1.17 - 共17页

摘要： of offshore* wind power due to wind resource* | . Existing research on offshore wind farm cluster power | forecasting method for offshore* wind farm clusters. The* | © 2024 Elsevier LtdOffshore wind* farm clusters* | of all wind* farms within the cluster by first*

关键词： Enhanced LSTM | LightGBM | Modular | Multi-step forecasting | Offshore wind power cluster

2. Distributionally robust chance-constrained energy management for island DC microgrid with offshore wind power hydrogen production NSTL国家科技图书文献中心

Yi Shen | Junyi Zhai ... - 《Energy》 - 2025,316(Feb.1) - 134570.1～134570.11 - 共11页

摘要： offshore wind power hydrogen production. Firstly, a | wind power. Besides, the conditional value-at-risk | is leveraged to capture the uncertainty of offshore | Islands possess abundant renewable energy | resources with significant potential for development

关键词： Green hydrogen | Offshore wind power | Island DC microgrid | Distributionally robust chance-constrained | (DRCC) | Conditional value-at-risk (CVaR) | approximation

3. Improved load-sharing strategy for multiple turbine generators of offshore oil and gas fields with offshore wind power NSTL国家科技图书文献中心

Jing Liu | Longfei Liu ... - 《Sustainable energy technologies and assessments》 - 2025,73(Jan.) - 104092.1～104092.19 - 共19页 - 被引量：1

摘要： collaborative development of offshore wind power and offshore | integration of intermittent wind power into offshore | contradiction between the improvement of wind power | , and 4.6% in winter. Meanwhile, wind power | , struggle to effectively handle power* fluctuations and the*

关键词： Offshore wind power | Offshore oil and gas fields | Load-sharing principle | Dynamic management of minimum load level

4. Uncertainty Prediction of Offshore Wind Power based on Outlier Processing, Data Noise Reduction and the Deep Learning Method NSTL国家科技图书文献中心

Yu, Zhen | Yang, Yinguo ... - 《Recent advances in electrical & electronic engineering》 - 2025,18(3) - 359～369 - 共11页

摘要： outliers of offshore* wind power data and delete the error* | , the offshore* wind power prediction method based on* | offshore wind power prediction, in which the attention | important features on the output of offshore wind power | wind power is the basis for promoting the safe and

关键词： Offshore wind power prediction | synchronous extrusion wavelet neural network | the improved particle swarm optimization | long short-term neural memory network | attention mechanism | deep learning

5. OWP-LIO: A method and experimental study for pose measurement of offshore wind power O&M vessels using Lidar-Inertial odometry NSTL国家科技图书文献中心

Deng Y. | Zhang W.... - 《Ocean engineering》 - 2025,317(Feb.1) - 1.1～1.11 - 共11页

摘要： traditional, expensive IMUs. In offshore wind power | is crucial for operating and maintaining wind power | . Experiments in offshore* environments, using traditional IMU* | decreased system resource consumption. In offshore* trials* | © 2024 Elsevier LtdAccurate vessel positioning

关键词： Lidar | Lidar-IMU fusion | Offshore wind power O&M | Vessel pose measurement | Wave compensation

6. Enhancing maritime safety in offshore wind power engineering: A Holistic approach to accident cause analysis, barrier design, and mitigation strategies - HFACS+Bowtie+C NSTL国家科技图书文献中心

Wang J. | Huang X.... - 《Ocean engineering》 - 2025,316(Jan.15) - 1.1～1.16 - 共16页

摘要： offshore vessel accidents. Seven organizational barriers | © 2024 Elsevier LtdThis study integrates the | human factor analysis and classification system (HFACS | ) with Bowtie analysis to clarify accident pathways and | barrier strategies. A new framework, HFACS + Bowtie + C

关键词： Barrier theory | Bowtie | HFACS | Maritime accidents | Offshore wind power

7. Stochastic stability analysis method for offshore doubly‐fed wind power systems considering frequency variation of power cable parameters NSTL国家科技图书文献中心

Wei Chen | Bo Wang ... - 《International journal of circuit theory and applications》 - 2025,53(2) - 902～914 - 共13页

摘要： offshore wind power generation system is sent out via a | impedance of the offshore* wind power public coupling point* | offshore wind power. | stability analysis method for an offshore doublyfed wind | power cable, this study proposes a stochastic

关键词： local stability | offshore wind power | orthogonal polynomial approximation | the capacity rise effect

8. Steady-State Analysis of the DR-MMC Based Hybrid Topology for Offshore Wind Power Transmission NSTL国家科技图书文献中心

Lu Chen | Jinyu Wang ... - 《IEEE Transactions on Power Electronics》 - 2025,40(2 Pt.1) - 3177～3188 - 共12页 - 被引量：1

摘要： wind power transmission. Accurate steady-state | ) has emerged as a promising solution for offshore | process of the DR and the power* conservation of this* | The hybrid topology with a modular multilevel | converter and diode rectifiers connected in series (DR-MMC

关键词： Steady-state | Topology | Integrated circuit modeling | Voltage control | HVDC transmission | Wind farms | Transformers | Inverters | Hybrid power systems | Harmonic analysis

9. The future of offshore wind power production: Wake and climate impacts NSTL国家科技图书文献中心

Warder S.C. | Piggott M.D. - 《Applied energy》 - 2025,380(Feb.15) - 1.1～1.19 - 共19页

摘要： meet climate goals. With offshore* wind turbine* | in potential wind* power resource at the farm* | power, for a case study consisting of 21 wind farms | © 2024 The AuthorsRapid deployment of offshore | wind is expected within the coming decades to help

关键词： Bias correction | Climate change | Cluster wakes | Farm wakes | Turbine wakes | Wind power | Wind shadowing

10. Optimizing yaw angles for improved power generation in offshore wind farms: A statistical approach NSTL国家科技图书文献中心

Formoso I. - 《Ocean engineering》 - 2025,315(Jan.1) - 1.1～1.22 - 共22页

摘要： turbines diminish power* generation in offshore wind farms* | power gain for three offshore wind turbines under | effective deployment at scale in offshore* wind farms* | © 2024Aerodynamic interactions among wind | from the wind* direction, mitigates energy losses from*

摘要： of offshore* wind power due to wind resource* | . Existing research on offshore wind farm cluster power | forecasting method for offshore* wind farm clusters. The* | © 2024 Elsevier LtdOffshore wind* farm clusters* | of all wind* farms within the cluster by first*

关键词： Enhanced LSTM | LightGBM | Modular | Multi-step forecasting | Offshore wind power cluster

摘要： offshore wind power hydrogen production. Firstly, a | wind power. Besides, the conditional value-at-risk | is leveraged to capture the uncertainty of offshore | Islands possess abundant renewable energy | resources with significant potential for development

关键词： Green hydrogen | Offshore wind power | Island DC microgrid | Distributionally robust chance-constrained | (DRCC) | Conditional value-at-risk (CVaR) | approximation

摘要： collaborative development of offshore wind power and offshore | integration of intermittent wind power into offshore | contradiction between the improvement of wind power | , and 4.6% in winter. Meanwhile, wind power | , struggle to effectively handle power* fluctuations and the*

关键词： Offshore wind power | Offshore oil and gas fields | Load-sharing principle | Dynamic management of minimum load level

摘要： outliers of offshore* wind power data and delete the error* | , the offshore* wind power prediction method based on* | offshore wind power prediction, in which the attention | important features on the output of offshore wind power | wind power is the basis for promoting the safe and

关键词： Offshore wind power prediction | synchronous extrusion wavelet neural network | the improved particle swarm optimization | long short-term neural memory network | attention mechanism | deep learning

摘要： traditional, expensive IMUs. In offshore wind power | is crucial for operating and maintaining wind power | . Experiments in offshore* environments, using traditional IMU* | decreased system resource consumption. In offshore* trials* | © 2024 Elsevier LtdAccurate vessel positioning

关键词： Lidar | Lidar-IMU fusion | Offshore wind power O&M | Vessel pose measurement | Wave compensation

摘要： offshore vessel accidents. Seven organizational barriers | © 2024 Elsevier LtdThis study integrates the | human factor analysis and classification system (HFACS | ) with Bowtie analysis to clarify accident pathways and | barrier strategies. A new framework, HFACS + Bowtie + C

关键词： Barrier theory | Bowtie | HFACS | Maritime accidents | Offshore wind power

摘要： offshore wind power generation system is sent out via a | impedance of the offshore* wind power public coupling point* | offshore wind power. | stability analysis method for an offshore doublyfed wind | power cable, this study proposes a stochastic

关键词： local stability | offshore wind power | orthogonal polynomial approximation | the capacity rise effect

摘要： wind power transmission. Accurate steady-state | ) has emerged as a promising solution for offshore | process of the DR and the power* conservation of this* | The hybrid topology with a modular multilevel | converter and diode rectifiers connected in series (DR-MMC

关键词： Steady-state | Topology | Integrated circuit modeling | Voltage control | HVDC transmission | Wind farms | Transformers | Inverters | Hybrid power systems | Harmonic analysis

摘要： meet climate goals. With offshore* wind turbine* | in potential wind* power resource at the farm* | power, for a case study consisting of 21 wind farms | © 2024 The AuthorsRapid deployment of offshore | wind is expected within the coming decades to help

关键词： Bias correction | Climate change | Cluster wakes | Farm wakes | Turbine wakes | Wind power | Wind shadowing

摘要： turbines diminish power* generation in offshore wind farms* | power gain for three offshore wind turbines under | effective deployment at scale in offshore* wind farms* | © 2024Aerodynamic interactions among wind | from the wind* direction, mitigates energy losses from*

关键词： Machine learning | Numerical optimization | Offshore wind power generation | Power loss mitigation | Statistical modeling | Wake effect analysis

4008-161-200 800-990-8900

国家科技图书文献中心

摘要： of offshore wind power due to wind resource | . Existing research on offshore wind farm cluster power | forecasting method for offshore wind farm clusters. The | © 2024 Elsevier LtdOffshore wind farm clusters | of all wind farms within the cluster by first

关键词： Enhanced LSTM | LightGBM | Modular | Multi-step forecasting | Offshore wind power cluster

摘要： offshore wind power hydrogen production. Firstly, a | wind power. Besides, the conditional value-at-risk | is leveraged to capture the uncertainty of offshore | Islands possess abundant renewable energy | resources with significant potential for development

关键词： Green hydrogen | Offshore wind power | Island DC microgrid | Distributionally robust chance-constrained | (DRCC) | Conditional value-at-risk (CVaR) | approximation

摘要： collaborative development of offshore wind power and offshore | integration of intermittent wind power into offshore | contradiction between the improvement of wind power | , and 4.6% in winter. Meanwhile, wind power | , struggle to effectively handle power fluctuations and the

关键词： Offshore wind power | Offshore oil and gas fields | Load-sharing principle | Dynamic management of minimum load level

摘要： outliers of offshore wind power data and delete the error | , the offshore wind power prediction method based on | offshore wind power prediction, in which the attention | important features on the output of offshore wind power | wind power is the basis for promoting the safe and

关键词： Offshore wind power prediction | synchronous extrusion wavelet neural network | the improved particle swarm optimization | long short-term neural memory network | attention mechanism | deep learning

摘要： traditional, expensive IMUs. In offshore wind power | is crucial for operating and maintaining wind power | . Experiments in offshore environments, using traditional IMU | decreased system resource consumption. In offshore trials | © 2024 Elsevier LtdAccurate vessel positioning

关键词： Lidar | Lidar-IMU fusion | Offshore wind power O&M | Vessel pose measurement | Wave compensation

摘要： offshore vessel accidents. Seven organizational barriers | © 2024 Elsevier LtdThis study integrates the | human factor analysis and classification system (HFACS | ) with Bowtie analysis to clarify accident pathways and | barrier strategies. A new framework, HFACS + Bowtie + C

关键词： Barrier theory | Bowtie | HFACS | Maritime accidents | Offshore wind power

摘要： offshore wind power generation system is sent out via a | impedance of the offshore wind power public coupling point | offshore wind power. | stability analysis method for an offshore doublyfed wind | power cable, this study proposes a stochastic

关键词： local stability | offshore wind power | orthogonal polynomial approximation | the capacity rise effect

摘要： wind power transmission. Accurate steady-state | ) has emerged as a promising solution for offshore | process of the DR and the power conservation of this | The hybrid topology with a modular multilevel | converter and diode rectifiers connected in series (DR-MMC

关键词： Steady-state | Topology | Integrated circuit modeling | Voltage control | HVDC transmission | Wind farms | Transformers | Inverters | Hybrid power systems | Harmonic analysis

摘要： meet climate goals. With offshore wind turbine | in potential wind power resource at the farm | power, for a case study consisting of 21 wind farms | © 2024 The AuthorsRapid deployment of offshore | wind is expected within the coming decades to help

关键词： Bias correction | Climate change | Cluster wakes | Farm wakes | Turbine wakes | Wind power | Wind shadowing

摘要： turbines diminish power generation in offshore wind farms | power gain for three offshore wind turbines under | effective deployment at scale in offshore wind farms | © 2024Aerodynamic interactions among wind | from the wind direction, mitigates energy losses from

关键词： Machine learning | Numerical optimization | Offshore wind power generation | Power loss mitigation | Statistical modeling | Wake effect analysis

4008-161-200 800-990-8900

国家科技图书文献中心

摘要： of offshore* wind power due to wind resource* | . Existing research on offshore wind farm cluster power | forecasting method for offshore* wind farm clusters. The* | © 2024 Elsevier LtdOffshore wind* farm clusters* | of all wind* farms within the cluster by first*

摘要： collaborative development of offshore wind power and offshore | integration of intermittent wind power into offshore | contradiction between the improvement of wind power | , and 4.6% in winter. Meanwhile, wind power | , struggle to effectively handle power* fluctuations and the*

摘要： outliers of offshore* wind power data and delete the error* | , the offshore* wind power prediction method based on* | offshore wind power prediction, in which the attention | important features on the output of offshore wind power | wind power is the basis for promoting the safe and

摘要： traditional, expensive IMUs. In offshore wind power | is crucial for operating and maintaining wind power | . Experiments in offshore* environments, using traditional IMU* | decreased system resource consumption. In offshore* trials* | © 2024 Elsevier LtdAccurate vessel positioning

摘要： offshore wind power generation system is sent out via a | impedance of the offshore* wind power public coupling point* | offshore wind power. | stability analysis method for an offshore doublyfed wind | power cable, this study proposes a stochastic

摘要： wind power transmission. Accurate steady-state | ) has emerged as a promising solution for offshore | process of the DR and the power* conservation of this* | The hybrid topology with a modular multilevel | converter and diode rectifiers connected in series (DR-MMC

摘要： meet climate goals. With offshore* wind turbine* | in potential wind* power resource at the farm* | power, for a case study consisting of 21 wind farms | © 2024 The AuthorsRapid deployment of offshore | wind is expected within the coming decades to help

摘要： turbines diminish power* generation in offshore wind farms* | power gain for three offshore wind turbines under | effective deployment at scale in offshore* wind farms* | © 2024Aerodynamic interactions among wind | from the wind* direction, mitigates energy losses from*