相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Hybrid neurofuzzy wind power forecast and wind turbine location for embedded generation
Paul A. Adedeji et al.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH (2021)
Assessing temporal variability of wind resources in China and the spatial correlation of wind power in the selected regions
Guorui Ren et al.
JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY (2020)
Impact of weather regimes on wind power variability in western Europe
Jose M. Garrido-Perez et al.
APPLIED ENERGY (2020)
Integration of small-scale surface properties in a new high resolution global wind speed model
Christopher Jung et al.
ENERGY CONVERSION AND MANAGEMENT (2020)
Comparative study of onshore and offshore wind characteristics and wind energy potentials: A case study for southeast coastal region of China
Yi Li et al.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS (2020)
Suitability of power-law extrapolation for wind speed estimation on a tropical island
Jing-Jin Tieo et al.
JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS (2020)
A comprehensive review on wind resource extrapolation models applied in wind energy
Giovanni Gualtieri
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2019)
The temporal variability of global wind energy - Long-term trends and inter annual variability
Christopher Jung et al.
ENERGY CONVERSION AND MANAGEMENT (2019)
Characterization of European wind speed variability using weather regimes
Nicola Cortesi et al.
CLIMATE DYNAMICS (2019)
Europe, China and the United States: Three different approaches to the development of offshore wind energy
M. Decastro et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2019)
Technoeconomic study for the optimization of turbine size and wind farm layouts
Sameh A. Nada et al.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH (2019)
Wind speed distribution selection - A review of recent development and progress
Christopher Jung et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2019)
Wind power prediction using bootstrap aggregating trees approach to enabling sustainable wind power integration in a smart grid
Fouzi Harrou et al.
ENERGY CONVERSION AND MANAGEMENT (2019)
Seasonal forecasts of wind power generation
Ll. Lledo et al.
RENEWABLE ENERGY (2019)
Global available wind energy with physical and energy return on investment constraints
Elise Dupont et al.
APPLIED ENERGY (2018)
Use of spatio-temporal calibrated wind shear model to improve accuracy of wind resource assessment
Jiale Li et al.
APPLIED ENERGY (2018)
National and global wind resource assessment under six wind turbine installation scenarios
Christopher Jung et al.
ENERGY CONVERSION AND MANAGEMENT (2018)
Achieving Germany's wind energy expansion target with an improved wind turbine siting approach
Christopher Jung et al.
ENERGY CONVERSION AND MANAGEMENT (2018)
Evaluation of the Power-Law Wind-Speed Extrapolation Method with Atmospheric Stability Classification Methods for Flows over Different Terrain Types
Chang Xu et al.
APPLIED SCIENCES-BASEL (2018)
Development of a statistical bivariate wind speed-wind shear model (WSWS) to quantify the height-dependent wind resource
Christopher Jung et al.
ENERGY CONVERSION AND MANAGEMENT (2017)
On the Annual Cycle of Meteorological and Geographical Potential of Wind Energy: A Case Study from Southwest Germany
Leonie Grau et al.
SUSTAINABILITY (2017)
Forecasting high proportions of wind energy supplying the Brazilian Northeast electricity grid
Pieter de Jong et al.
APPLIED ENERGY (2017)
A surface-layer wind speed correction: A case-study of Darling station
Zaccheus O. Olaofe
RENEWABLE ENERGY (2016)
The feasible onshore wind energy potential in Baden-Wurttemberg: A bottom-up methodology considering socio-economic constraints
Tobias Jaeger et al.
RENEWABLE ENERGY (2016)
Future electricity: The challenge of reducing both carbon and water footprint
Mesfin M. Mekonnen et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2016)
Extrapolating wind speed time series vs. Weibull distribution to assess wind resource to the turbine hub height: A case study on coastal location in Southern Italy
Giovanni Gualtieri et al.
RENEWABLE ENERGY (2014)
Global potential for wind-generated electricity
Xi Lu et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2009)