Nordic Windpower

Nordic Windpower


Address:
USA

Description:
privately owned manufacturer of wind turbines based in Kansas City, Missouri in the United States. Nordic Windpower filed for liquidation in the Kansas City Bankruptcy court in October 2012

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Company News

Wind - Peikko Delivers Rock Foundations to Wind Parks in Norway - Renewable Energy Magazine
Posted on Monday March 25, 2019

Wind - Peikko Delivers Rock Foundations to Wind Parks in Norway  Renewable Energy Magazine

Finnish company, Peikko Group, has received an order to deliver rock foundation technology to Geitfjellet, Harbaksfjellet and Kvenndalsfjellet wind parks in the ...

Reka Cables to provide cables for 100 turbines in Norwegian wind parks - GlobeNewswire
Posted on Monday March 25, 2019

Reka Cables to provide cables for 100 turbines in Norwegian wind parks  GlobeNewswire

Neo Industrial Plc Press Release March 25, 2019 at 3.00 pm. Reka Cables to provide cables for 100 turbines in Norwegian wind parks. Neo Industrial's ...

Nordic Wind to retrofit Minnesota wind project with controller upgrades - Windpower Engineering
Posted on Wednesday March 13, 2019

Nordic Wind to retrofit Minnesota wind project with controller upgrades  Windpower Engineering

Nordic Wind Technology has signed an agreement to retrofit 13 Suzlon S64 1.250MW turbines in Minnesota -- which includes a controller upgrade for six.

Nordic Wind, Mita-Teknik Retrofitting Minnesota Project With New Tech - North American Windpower
Posted on Friday March 15, 2019

Nordic Wind, Mita-Teknik Retrofitting Minnesota Project With New Tech  North American Windpower

Nordic Wind Technology has signed an agreement to retrofit 13 Suzlon S64 1.25 MW turbines with its software at an undisclosed Minnesota wind project.

Google’s DeepMind is using machine learning to predict wind turbine energy production - VentureBeat
Posted on Tuesday February 26, 2019

Google’s DeepMind is using machine learning to predict wind turbine energy production  VentureBeat

Google and DeepMind created an AI model to predict the power output of wind turbines, a method they say led to a 20 percent increase in value.


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