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Neural Networks Used To Improve Wind Speed Forecasting

Scientists have invented a new method for predicting the wind speed of wind farm aerogenerators. The system is based on combining the use of weather forecasting models and artificial neural networks and enables researchers to calculate the energy that wind farms will produce two days in advance.
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Fires are a major cause of wind farm failure, according to new research

Academics / General Science : Science Codex (8 hours ago)

UPDATE TO NEWS RELEASE: 'Fires are a major cause of wind farm failure, according to new research' Message to news release subscribers from Imperial College London Press Office: Following discussion with reporters we wish to draw at... Read Post

Comprehensive wind info collected to improve renewable energy

Academics / General Science : Science Daily (4 years ago)

Scientists are researching how radar weather instruments can help improve predictions on when and how strongly winds will blow. They're testing the instruments from a working wind farm in southeastern Washington State with the goal ... Read Post

Space weather prediction model improves forecasting

Academics / General Science : Science Daily (3 years ago)

NOAA is now using a sophisticated forecast model that substantially improves predictions of space weather impacts on Earth. Better forecasts offer additional protection for people and the technology-based infrastructure we use daily... Read Post


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