https://www.predictwind.com/
The World Leader in Wind Forecasting · PredictWind
Ocean Racing and America's Cup proven, highest resolution wind and marine forecasts on the web.
the worldwind forecastingleaderpredictwind
https://aeolus.collaboration.uconn.edu/
Home | Atmosphere-Ocean Interactions and Offshore Wind Forecasting | University of Connecticut
This project addresses offshore wind characterization and forecasting challenges with an integrated observational-modeling-applications research initiative ...
home atmosphereoffshore windoceaninteractions
https://explore.predictwind.com/
The World Leader in Wind Forecasting · PredictWind
Ocean Racing and America's Cup proven, highest resolution wind and marine forecasts on the web.
the worldwind forecastingleaderpredictwind
https://github.com/oshapio/Localized-CNNs-for-Geospatial-Wind-Forecasting
GitHub - oshapio/Localized-CNNs-for-Geospatial-Wind-Forecasting: Code for "Localized Convolutional...
Code for "Localized Convolutional Neural Networks for Geospatial Wind Forecasting" - oshapio/Localized-CNNs-for-Geospatial-Wind-Forecasting
wind forecastinggithublocalizedcnnsgeospatial
https://shop.elsevier.com/books/wind-forecasting-in-railway-engineering/liu/978-0-12-823706-9
Wind Forecasting in Railway Engineering - 1st Edition | Elsevier Shop
wind forecastingrailway engineeringeditionelseviershop
https://nhess.copernicus.org/articles/14/1491/2014/nhess-14-1491-2014-metrics.html
NHESS - Metrics - Forecasting wind-driven wildfires using an inverse modelling approach
nhessmetricsforecastingwinddriven
https://publica.fraunhofer.de/entities/publication/418317db-c38e-4cc7-bf8b-52e2318fc201
Are forecasting errors of wind and solar power statistically dependent?
wind and solarforecastingerrorspowerdependent
https://uu.diva-portal.org/smash/record.jsf?pid=diva2%3A1770882
Day-ahead probabilistic forecasting at a co-located wind and solar power park in Sweden : Trading...
https://impact.ornl.gov/en/publications/small-world-neural-network-and-its-performance-for-wind-power-for/
Small-world neural network and its performance for wind power forecasting - Oak Ridge National...
https://eprints.soton.ac.uk/491053/
Offshore wind power forecasting based on WPD and optimised deep learning methods - ePrints Soton
offshore wind power
https://su.diva-portal.org/smash/record.jsf?pid=diva2:1530106
Probabilistic Forecasting of Wind Turbine Icing Related Production Losses Using Quantile Regression...
probabilistic forecastingwind turbine
https://academiccommons.columbia.edu/doi/10.7916/d8-6qar-md39
Forecasting Wind Turbine Failures and Associated Costs | Academic Commons
Electricity demand is rapidly increasing with growth of population, development of technologies and electrically intensive industries. Also, emerging climate...
wind turbineassociated costsforecastingfailuresacademic
https://www.mdpi.com/1996-1073/14/23/7943
Short-Term Forecasting of Wind Energy: A Comparison of Deep Learning Frameworks
Wind energy has been recognized as the most promising and economical renewable energy source, attracting increasing attention in recent years. However,...
short termwind energya comparisondeep learningforecasting
https://impacts.ucar.edu/en/publications/a-wind-power-forecasting-system-to-optimize-grid-integration/
A wind power forecasting system to optimize grid integration - Impacts @ NSF NCAR and UCAR
https://www.mdpi.com/1996-1073/11/3/526
Wind Power Forecasting Based on Echo State Networks and Long Short-Term Memory
Wind power generation has presented an important development around the world. However, its integration into electrical systems presents numerous challenges...
https://arxiv.org/abs/2005.05930
[2005.05930] Localized convolutional neural networks for geospatial wind forecasting
Abstract page for arXiv paper 2005.05930: Localized convolutional neural networks for geospatial wind forecasting
convolutional neural networkslocalizedgeospatialwindforecasting
https://cordis.europa.eu/programme/id/FP7_ENERGY-2007-2.3-02
External conditions, resource assessment and forecasting for wind energy | Programme | FP7 | CORDIS...
resource assessment
https://gpbib.cs.ucl.ac.uk/gp-html/conf_sgai_Martinez-ArellanoN13.html
Genetic Programming for Wind Power Forecasting and Ramp Detection
genetic programmingwind powerforecastingrampdetection
https://fr.mathworks.com/matlabcentral/answers/392081-modelling-hourly-wind-speeds-for-forecasting-using-arma-and-arima-model
Modelling hourly wind speeds for forecasting using arma and arima model - MATLAB Answers - MATLAB...
Modelling hourly wind speeds for forecasting... Learn more about statistics, arima, arma, normal distribution, seasonality
https://publica.fraunhofer.de/entities/publication/3fdc7282-574d-4fa2-9a06-c4e1ecb1a521
Wind Power Forecasting Based on Deep Neural Networks and Transfer Learning
State-of-the-art forecasting systems are often based on single machine learning models that have been trained for individual wind farms. The data of a each...
deep neural networkswind powerbased onforecasting