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Recommendation algorithms that power Amazon, Netflix can improve satellite imagery, too

Recommendation algorithms that power Amazon, Netflix can improve satellite imagery, too
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Researchers Develop Machine Learning Model to Better Predict Offshore Wind Power

Researchers Develop Machine Learning Model to Better Predict Offshore Wind Power
Written by AZoCleantechJul 1 2021
Rutgers researchers have developed a machine learning model using a physics-based simulator and real-world meteorological data to better predict offshore wind power.
The findings appear in the journal
Applied Energy.
Offshore wind is rapidly maturing into a major source of renewable energy worldwide and is projected to grow by 13% in the next two decades and 15-fold by 2040 to become a $1 trillion industry, matching capital spending on gas- and coal-fired power generation. In the United States, for instance, New York and New Jersey recently awarded two offshore wind energy contracts to help achieve their targets of renewable energy integration.

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Researchers Create Better Method to Predict Offshore Wind Power

Researchers Create Better Method to Predict Offshore Wind Power
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Wind energy, renewables, power sources | Homeland Security Newswire

Wind energy, renewables, power sources | Homeland Security Newswire
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Researchers create better method to predict offshore wind power

Researchers create better method to predict offshore wind power
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