Abstract
Wenhao Xue, Fangyuan Zhu, Zhaorui Liu, Yifei Wang, Zhaoxin Cai, Xinyao Li
Abstract
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Future global offshore wind energy under climate change and advanced wind turbine technology
10.1016/j.enconman.2024.119075 · 2024
Assessment of wind and wave energy in China seas under climate change based on CMIP6 climate model
10.1016/j.energy.2024.133207 · 2024
The role of offshore wind and solar PV resources in global low-carbon transition
10.1126/sciadv.adx5580 · 2025
Unresolved referenced work
2025
Unresolved referenced work
2026
Grid integration feasibility and investment planning of offshore wind power under carbon-neutral transition in China
10.1038/s41467-023-37536-3 · 2023
Research on the coupling coordination degree of “upstream-midstream-downstream” of China’s wind power industry chain
2020
Increasing extreme winds challenge offshore wind energy resilience
10.1038/s41467-025-65105-3 · 2025
The technical efficiency of China’s wind power list enterprises: an estimation based on DEA method and micro-data
10.1016/j.renene.2018.10.049 · 2019
Understanding the material efficiency of the wind power sector in China: a spatial-temporal assessment
Provenance
crossref
Confidence 100%
openalex
Confidence 95%
datacite
Confidence 0%
10.1016/j.resconrec.2019.104668 · 2020
Assessing the efficiency and CO2 reduction performance of china’s regional wind power industry using an epsilon-based measure model
10.3389/fenrg.2021.672183 · 2021
Analysis of financial support efficiency for China’s wind power industry. energy sources Part B Econ Plan
2016
Life cycle cost modelling and economic analysis of wind power: a state of art review
10.1016/j.enconman.2022.116628 · 2023
Comparative study of onshore and offshore wind characteristics and wind energy potentials: a case study for southeast coastal region of China
2020
Global long-term cost dynamics of offshore wind electricity generation
10.1016/j.energy.2014.08.062 · 2014
Review of the current status, technology and future trends of offshore wind farms
10.1016/j.oceaneng.2020.107381 · 2020
The blue treasure of hydrogen energy: a research of offshore wind power industry policy in China
10.1016/j.ijhydene.2024.03.009 · 2024
Multi-scale offshore wind farm site selection decision framework based on GIS MCDM and meta-heuristic algorithm
10.1016/j.oceaneng.2024.119921 · 2025
Offshore wind power in China: a potential solution to electricity transformation and carbon neutrality
2022
10.1016/j.energy.2021.120225
10.1016/j.energy.2021.120225
Evaluating capital and operating cost efficiency of offshore wind farms: a DEA approach
10.1016/j.rser.2014.10.071 · 2015
Measuring the environmental efficiency of the investment for offshore wind power site in Taiwan
2022
A cross-european efficiency assessment of offshore wind farms: a DEA approach
2019
Untangling multi-level efficiency evolution in China’s offshore wind power: from project development to electricity generation
2026
Evaluation of thermal power plant operational performance in Taiwan by data envelopment analysis
10.1016/j.enpol.2009.10.057 · 2010
China’s environmental governance efficiency evaluation based on novel cross-efficiency network DEA model
10.1038/s41598-025-17840-2 · 2025
Understanding the green energy efficiencies of provinces in China: a Super-SBM and GML analysis
10.1016/j.energy.2021.121912 · 2022
Measuring green total factor productivity in China’s power industry based on super-efficiency SBM and GML index models
10.3390/su18010038 · 2025
Efficiency assessment of wind farms in China using two-stage data envelopment analysis
10.1016/j.enconman.2016.06.014 · 2016
Assessment of the productive efficiency of large wind farms in the United States: an application of two-stage data envelopment analysis
10.1016/j.enconman.2017.09.062 · 2017
An explainable machine learning approach (SHAP) to assessing desertification risk and its drivers in the Ring-Tarim Basin, 1990–2020
10.1016/j.eiar.2025.108309 · 2026
Chinese cities show disparity trends in carbon efficiency: a hybrid approach combining explainable machine learning and econometrics
2025
Differentiated landscape pattern transformation strategies drive territorial space carbon neutrality: a path exploration based on mixed land use units
10.1016/j.scs.2025.106865 · 2025
Impacts of climatic factors and landscape patterns on megacity carbon sink in the mountain–basin transition region: a study based on the XGBoost–SHAP model in Chengdu
2025
An XGBoost-SHAP analysis of the driving factors of carbon emissions in China’s first-tier cities
10.1038/s41598-025-31260-2 · 2025
Measurement of productive efficiency with frontier methods: a case study for wind farms
10.1016/j.eneco.2010.03.004 · 2010
Assessing climate change impacts on the near-term stability of the wind energy resource over the United States
10.1073/pnas.1019388108 · 2011
Unresolved referenced work
Kept as external metadata until matched
Techno-economics of offshore wind power in global resolution
10.1016/j.apenergy.2025.125980 · 2025
Turbine siting in relation to wind speed: Insights from historical deployment patterns for energy system modeling
10.1016/j.esr.2025.101990 · 2025
Temporal-spatial analysis and improvement measures of Chinese power system for wind power curtailment problem
10.1016/j.rser.2015.04.106 · doi-reference
Sensitivity and stability analysis in dea
10.1007/bf01874736 · doi-reference
A global Malmquist-Luenberger productivity index
10.1007/s11123-010-0178-y · doi-reference
A procedure for ranking efficient units in data envelopment analysis
10.1287/mnsc.39.10.1261 · doi-reference
A slacks-based measure of efficiency in data envelopment analysis
10.1016/s0377-2217(99)00407-5 · doi-reference
Can learning-by-doing offset negative impacts of carbon pricing in China?
10.1016/j.rser.2023.113441 · doi-reference
10.1002/wcc.730
10.1002/wcc.730 · doi-reference
How purchasing and supply management practices affect key success factors: the case of the offshore-wind supply chain
10.1108/jbim-10-2014-0210 · doi-reference
Impacts of turbine and plant upsizing on the levelized cost of energy for offshore wind
10.1016/j.apenergy.2021.117189 · doi-reference
Techno-economic analysis of wind power generation for selected locations in Jordan
10.1016/j.renene.2016.10.003 · doi-reference
Assessment of wind power predictability as a decision factor in the investment phase of wind farms
10.1016/j.apenergy.2012.06.064 · doi-reference
Wind farm capacity factor forecasting: an Australian case study
10.1016/j.nexus.2025.100422 · doi-reference
10.1007/978-1-4471-2488-7
10.1007/978-1-4471-2488-7 · doi-reference
Optimization of wind turbine positioning in large windfarms by means of a genetic algorithm
10.1016/0167-6105(94)90080-9 · doi-reference
Toward a carbon-neutral state: a carbon–energy–water nexus perspective of china’s coal power industry
10.3390/en15124466 · doi-reference
Study of the emissions and spatial distributions of various power-generation technologies in China
10.1016/j.jenvman.2020.111401 · doi-reference
Data envelopment analysis: prior to choosing a model
10.1016/j.omega.2013.09.004 · doi-reference
Optimization of the number, hub height and layout of offshore wind turbines
10.3390/jmse11081566 · doi-reference
Offshore wind energy: a comparative analysis of UK, USA and India
10.1016/j.rser.2014.08.080 · doi-reference
A multi-criteria port suitability assessment for developments in the offshore wind industry
10.1016/j.renene.2016.10.035 · doi-reference
The role of air density in wind energy assessment – a case study from Germany
10.1016/j.energy.2019.01.041 · doi-reference
Performance comparison of six numerical methods in estimating Weibull parameters for wind energy application
10.1016/j.apenergy.2010.06.018 · doi-reference
Turbine siting in relation to wind speed: Insights from historical deployment patterns for energy system modeling
10.1016/j.esr.2025.101990 · doi-reference
Techno-economics of offshore wind power in global resolution
10.1016/j.apenergy.2025.125980 · doi-reference
Assessing climate change impacts on the near-term stability of the wind energy resource over the United States
10.1073/pnas.1019388108 · doi-reference
Measurement of productive efficiency with frontier methods: a case study for wind farms
10.1016/j.eneco.2010.03.004 · doi-reference
An XGBoost-SHAP analysis of the driving factors of carbon emissions in China’s first-tier cities
10.1038/s41598-025-31260-2 · doi-reference
Differentiated landscape pattern transformation strategies drive territorial space carbon neutrality: a path exploration based on mixed land use units
10.1016/j.scs.2025.106865 · doi-reference
An explainable machine learning approach (SHAP) to assessing desertification risk and its drivers in the Ring-Tarim Basin, 1990–2020
10.1016/j.eiar.2025.108309 · doi-reference
Assessment of the productive efficiency of large wind farms in the United States: an application of two-stage data envelopment analysis
10.1016/j.enconman.2017.09.062 · doi-reference
Efficiency assessment of wind farms in China using two-stage data envelopment analysis
10.1016/j.enconman.2016.06.014 · doi-reference
Measuring green total factor productivity in China’s power industry based on super-efficiency SBM and GML index models
10.3390/su18010038 · doi-reference
Understanding the green energy efficiencies of provinces in China: a Super-SBM and GML analysis
10.1016/j.energy.2021.121912 · doi-reference
China’s environmental governance efficiency evaluation based on novel cross-efficiency network DEA model
10.1038/s41598-025-17840-2 · doi-reference
Evaluation of thermal power plant operational performance in Taiwan by data envelopment analysis
10.1016/j.enpol.2009.10.057 · doi-reference
Evaluating capital and operating cost efficiency of offshore wind farms: a DEA approach
10.1016/j.rser.2014.10.071 · doi-reference
10.1016/j.energy.2021.120225
10.1016/j.energy.2021.120225 · doi-reference
Multi-scale offshore wind farm site selection decision framework based on GIS MCDM and meta-heuristic algorithm
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The blue treasure of hydrogen energy: a research of offshore wind power industry policy in China
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Review of the current status, technology and future trends of offshore wind farms
10.1016/j.oceaneng.2020.107381 · doi-reference