Wind


Artificial Intelligence and Robots to Make Offshore Windfarms Safer and Cheaper

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The University of Manchester is leading a consortium to investigate advanced technologies, including robotics and artificial intelligence, for the operation and maintenance of offshore windfarms.


Artificial intelligence and robots to make offshore windfarms safer and cheaper

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The University of Manchester is leading a consortium to investigate advanced technologies, including robotics and artificial intelligence, for the operation and maintenance of offshore windfarms.



SIEMENS : Oceans of Data from the World's Offshore Wind Farms 4-Traders

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Artificial intelligence is helping to monitor wind turbines in some of the world's most remote locations.


Numenta's Brain-Inspired Software Adds Smarts to the Grid

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People in technology know there's more and more data being created, but artificial intelligence startup Numenta is tackling a slightly different problem: the speed at which data is produced.


Germany enlists machine learning to boost renewables revolution

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Renewable power sources such as wind now provide about one-third of Germany's electricity.


Machine learning in wind energy

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Machine learning has been one of the most exciting development we have had since the internet and its subsequent spread through smart phones. Andrew Ng likens artificial intelligence (AI: term can be used vice versa with machine learning as of this moment that AI system learns from data, but this hasn't always been the case) to electricity; that AI will be pervasive, everywhere and transformative in the way we do things. Why would it be so transformative to the way we do things? Its simply that before advent of AI, everything we built were not even stupid, they had no thoughts and take no actions, its people who gotta make all the decisions for them.


[slides] #MachineLearning and #CognitiveComputing @CloudExpo #BigData

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Machine Learning helps make complex systems more efficient. By applying advanced Machine Learning techniques such as Cognitive Fingerprinting, wind project operators can utilize these tools to learn from collected data, detect regular patterns, and optimize their own operations.


[slides] #MachineLearning and #CognitiveComputing @CloudExpo #BigData - MeasurementMedia in Industry & Science

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Machine Learning helps make complex systems more efficient. By applying advanced Machine Learning techniques such as Cognitive Fingerprinting, wind project operators can utilize these tools to learn from collected data, detect regular patterns, and optimize their own operations. In his session at 18th Cloud Expo, Stuart Gillen, Director of Business Development at SparkCognition, discussed how research has demonstrated the value of Machine Learning in delivering next generation analytics to improve safety, performance, and reliability in today's modern wind turbines.


ServusNet Forecasts Wind Power Using Cortana Analytics Suite

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This post is authored by Jaya Mathew & Hong Lu, Data Scientists at Microsoft, in collaboration with the team at ServusNet.