Reconstruction of Near‐Surface Hourly Wind Speed Data Sets During the Period 1959–2021 Over China

Meshless Surface Wind Speed Field Reconstruction Based on Machine Learning

(2022) Nian Liu et al.   ADVANCES IN ATMOSPHERIC SCIENCES

Ridge regression ensemble of machine learning models applied to solar and wind forecasting in Brazil and Spain

(2022) Tatiane C. Carneiro et al.   APPLIED ENERGY

Developing a new wind dataset by blending satellite data and WRF model wind predictions

(2022) Nadia Salvação et al.   RENEWABLE ENERGY

Research on prediction of multi-class theft crimes by an optimized decomposition and fusion method based on XGBoost

(2022) Zhongzhen Yan et al.   EXPERT SYSTEMS WITH APPLICATIONS

Evaluation of meteorological reanalysis data over the tropical Western Indian Ocean based on buoy observations in 2022

(2022) Yulan Luo et al.   JOURNAL OF SEA RESEARCH

Analysing the uncertainties of reanalysis data used for wind resource assessment: A critical review

(2022) G. Gualtieri   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Machine learning forecasts of Scandinavian numerical weather prediction wind model residuals with control theory for wind energy

(2022) Hao Chen et al.   Energy Reports

Random-forest based adjusting method for wind forecast of WRF model

(2021) Anxi Wang et al.   COMPUTERS & GEOSCIENCES

A novel forecasting model for wind speed assessment using sentinel family satellites images and machine learning method

(2021) M. Majidi Nezhad et al.   RENEWABLE ENERGY

Does CRA-40 outperform other reanalysis products in evaluating near-surface wind speed changes over China?

(2021) Cheng Shen et al.   ATMOSPHERIC RESEARCH

Evaluation of Northern Hemisphere surface wind speed and wind power density in multiple reanalysis datasets

(2020) Haozeyu Miao et al.   ENERGY

Measuring the internationalization of the wind energy industry

(2020) Jose M. Yusta et al.   RENEWABLE ENERGY

Combination of meteorological reanalysis data and stochastic simulation for modelling wind generation variability

(2020) Matti Koivisto et al.   RENEWABLE ENERGY

What global reanalysis best represents near surface winds?

(2019) J. Ramon et al.   QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY

Grand challenges in the science of wind energy

(2019) Paul Veers et al.   SCIENCE

Characterization of the near surface wind speed distribution at global scale: ERA-Interim reanalysis and ECMWF seasonal forecasting system 4

(2018) Raül Marcos et al.   CLIMATE DYNAMICS

Statistical and Machine Learning forecasting methods: Concerns and ways forward

(2018) Spyros Makridakis et al.   PLoS One

Uncertainty in recent near-surface wind speed trends: a global reanalysis intercomparison

(2017) Verónica Torralba et al.   Environmental Research Letters

Reconstructing Satellite-Based Monthly Precipitation over Northeast China Using Machine Learning Algorithms

(2017) Wenlong Jing et al.   Remote Sensing

Quantifying sources of uncertainty in reanalysis derived wind speed

(2016) Stephen Rose et al.   RENEWABLE ENERGY

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

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

WRF wind simulation and wind energy production estimates forced by different reanalyses: Comparison with observed data for Portugal

(2013) D. Carvalho et al.   APPLIED ENERGY

A regression-based statistical correction of mesoscale simulations for near-surface wind speed using remotely sensed surface observations

(2012) Do-Yong Kim et al.   Asia-Pacific Journal of Atmospheric Sciences

Error Correction Modelling of Wind Speed Through Hydro-Meteorological Parameters and Mesoscale Model: A Hybrid Approach

(2012) Asnor Muizan Ishak et al.   WATER RESOURCES MANAGEMENT

Possible Impacts of Climate Change on Wind Gusts under Downscaled Future Climate Conditions over Ontario, Canada

(2011) Chad Shouquan Cheng et al.   JOURNAL OF CLIMATE

Statistical Downscaling of Wind Variability from Meteorological Fields

(2010) Robert J. Davy et al.   BOUNDARY-LAYER METEOROLOGY

History of surface weather observations in the United States

(2009) Christopher A. Fiebrich   EARTH-SCIENCE REVIEWS

Preliminary estimate of the large-scale wind energy resource with few measurements available: The case of Montenegro

(2009) Massimiliano Burlando et al.   JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS

Hybridizing the fifth generation mesoscale model with artificial neural networks for short-term wind speed prediction

(2008) Sancho Salcedo-Sanz et al.   RENEWABLE ENERGY