标题
Modeling of Ethiopian Wind Power Production Using ERA5 Reanalysis Data
作者
关键词
-
出版物
Energies
Volume 14, Issue 9, Pages 2573
出版商
MDPI AG
发表日期
2021-04-30
DOI
10.3390/en14092573
参考文献
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。- Global Warming, Climate Change, and Environmental Pollution: Recipe for a Multifactorial Stress Combination Disaster
- (2021) Sara I. Zandalinas et al. TRENDS IN PLANT SCIENCE
- Using bias-correction to improve future projections of offshore wind energy resource: A case study on the Iberian Peninsula
- (2020) X. Costoya et al. APPLIED ENERGY
- The ERA5 Global Reanalysis
- (2020) Hans Hersbach et al. QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY
- An investigation of wind power density distribution at location with low and high wind speeds using statistical model
- (2018) Vladislovas Katinas et al. APPLIED ENERGY
- Review and evaluation of wake loss models for wind energy applications
- (2018) Cristina L. Archer et al. APPLIED ENERGY
- ERA5: The new champion of wind power modelling?
- (2018) Jon Olauson RENEWABLE ENERGY
- Wind Power Ramp Events Prediction with Hybrid Machine Learning Regression Techniques and Reanalysis Data
- (2017) Laura Cornejo-Bueno et al. Energies
- An Open-Access Web-Based Tool to Access Global, Hourly Wind and Solar PV Generation Time-Series Derived from the MERRA Reanalysis Dataset
- (2017) Madeleine McPherson et al. Energies
- The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2)
- (2017) Ronald Gelaro et al. JOURNAL OF CLIMATE
- Using bias-corrected reanalysis to simulate current and future wind power output
- (2016) Iain Staffell et al. ENERGY
- A simple hourly wind power simulation for the South-West region of Western Australia using MERRA data
- (2016) Dean Laslett et al. RENEWABLE ENERGY
- Sustainable development and the water–energy–food nexus: A perspective on livelihoods
- (2015) Eloise M. Biggs et al. ENVIRONMENTAL SCIENCE & POLICY
- The JRA-55 Reanalysis: General Specifications and Basic Characteristics
- (2015) Shinya KOBAYASHI et al. JOURNAL OF THE METEOROLOGICAL SOCIETY OF JAPAN
- Balancing power and variable renewables: Three links
- (2015) Lion Hirth et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Using reanalysis data to quantify extreme wind power generation statistics: A 33 year case study in Great Britain
- (2015) D.J. Cannon et al. RENEWABLE ENERGY
- What can reanalysis data tell us about wind power?
- (2015) Stephen Rose et al. RENEWABLE ENERGY
- Modelling the Swedish wind power production using MERRA reanalysis data
- (2015) Jon Olauson et al. RENEWABLE ENERGY
- Variability in large-scale wind power generation
- (2015) Juha Kiviluoma et al. WIND ENERGY
- Application of the spectral correction method to reanalysis data in south Africa
- (2014) Xiaoli Guo Larsén et al. JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
- Wind Turbine Power Curve Modeling Using Advanced Parametric and Nonparametric Methods
- (2014) Shahab Shokrzadeh et al. IEEE Transactions on Sustainable Energy
- Exploring the role of reanalysis data in simulating regional wind generation variability over Northern Ireland
- (2013) M.L. Kubik et al. RENEWABLE ENERGY
- Wind power prediction based on numerical and statistical models
- (2012) Christos Stathopoulos et al. JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
- MERRA: NASA’s Modern-Era Retrospective Analysis for Research and Applications
- (2011) Michele M. Rienecker et al. JOURNAL OF CLIMATE
- The ERA-Interim reanalysis: configuration and performance of the data assimilation system
- (2011) D. P. Dee et al. QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY
- Wind energy potential assessment at four typical locations in Ethiopia
- (2008) Getachew Bekele et al. APPLIED ENERGY
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started