Wind


Artificial Intelligence Set To Boost Efficiency Of Solar & Wind

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New research has posited that artificial intelligence will increasingly automate operations for the wind and solar industries, boosting their efficiencies in areas such as decision making and planning, condition monitoring, robotics, and inspections. The new position paper published this week by DNV GL -- international accredited registrar and classification society headquartered near Oslo -- entitled Making Renewables Smarter: The benefits, risks, and future of artificial intelligence in solar and wind, outlines the advances being made in robotics, inspections, supply chain, and the way we work and showcases a variety of opportunities for the solar and wind industries to embrace artificial intelligence (AI) applications to improve their efficiency. "The use of artificial intelligence in industries continues at an impressive rate -- in manufacturing, engineering, healthcare, transportation, finance, telecommunications, services, and energy," the authors of the report explain. "Artificial intelligence's ability to use machine learning to analyse historical and new data, make predictions, control physical operations, and make decisions at increasingly higher levels is having an immense impact." The report explores ways in which AI applications like machine learning can impact the efficiency levels of areas involved in the wind and solar industries such as decision making and planning, condition monitoring, robotics, inspections, certifications and supply chain optimization, as well as the way technical work is carried out.


Nebraska to Build Wind Farm to Power Facebook Data Center

U.S. News

The Rattlesnake Creek Wind Project will be built between the towns of Allen, Emerson and Wakefield, the Sioux City Journal reported . Demand for power from Facebook helped resurrect the project that had been at a standstill since 2013 after its former owners, Trade Winds, couldn't find buyers for the energy the farm.


Edge, core, and cloud: Where all the workloads go

ZDNet

There is a strange and uneasy tension standing at the base of a wind turbine, amid a power generation farm full of dozens more. The air can seem still even though you can clearly see, and hear, the turbines moving. Indeed, the sound never dies down, although you're standing in precisely the space where you would most expect it to. With all these rotating blades the size of softball fields, it indeed feels and sounds like a place you'd expect to find something called "the edge." There's no methodology for any of the world's power grids to distinguish renewable power, such as wind-generated, from coal-based or hydroelectric power.


Artificial Intelligence and the future of energy – WePower – Medium

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Artificial Intelligence will change the future of energy. I am often asked how Artificial Intelligence (AI) can be used to help interpret the past, optimise the present and predict the future. Having helped build data science and machine learning solutions in both private and public sectors I'm always pleasantly surprised by the multitude of applications and opportunities that AI technology can offer. There are only three limitations to building successful AI systems -- computing power, availability of data and imagination. More than often the latter is the hardest to realise.


Amazon's Jeff Bezos smashes champagne bottle on turbine

Daily Mail

Amazon founder Jeff Bezos has'christened' the company's new wind farm by smashing a bottle of champagne while standing on top of a 300ft (90m) turbine. Footage of the stunt, which appears to have been recorded using a drone, gives a sweeping look of the new Texan wind farm which is currently Amazon's largest renewable energy project. The 53-year-old multi-billionaire flaunted the bottle-smashing video on Twitter - further shaping his new macho appearance which is a far cry from his nerdy look when he started Amazon in the mid-90s. Bezos' macho appearance is a far cry from his nerdy look when he started Amazon in the mid-90s. At the time, he was running it from a garage at a house he had rented in Seattle.


[slides] #MachineLearning and #CognitiveComputing @CloudExpo #AI #ML

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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. Speaker Bio Stuart Gillen is the Director of Business Development at SparkCognition. In this role, he is responsible for driving business engagements, partner development, marketing activities, and go-to market strategy.


Drone-scale computing: Streaming AI across the IoT nervous system will power the future - IoT Agenda

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A system of insight is like your human nervous system: AI is the brain, IoT sensors are your senses, middleware is your skeletal system and streaming analytics complete the autonomous nervous system's function. The Vestas implementation captures terabytes of sensory input each and every day from its wind turbines to continuously train algorithms that continuously instruct turbines on how to react to wind and atmospheric conditions and optimize power production. Streaming analytics of trained algorithms provide this automatic intelligence in action for IoT systems and guide delivery drones to, say, avoid collision with one another. All automated IoT systems face this challenge, as the importance of a connected business nervous system makes for a big target.


Artificially Intelligent Green Energy? Yes!

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Smart Wind and Solar Power Big data and artificial intelligence are producing ultra-accurate forecasts that will make it feasible to integrate much more renewable energy into the power grid. Researchers around the world are collecting wind speed and output data from wind turbines. The result: wind power forecasts of unprecedented accuracy are making it possible to use far more renewable energy, at lower cost, than utilities ever thought possible. While solar power generation lags wind power production, researchers are furiously working around the world to better harness the sun's abundant power.


GE's research scientists are learning to meld AI with machines

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So far, nearly 400 employees from across the company have completed GE's certification program for data analytics, and about 50 scientists have moved into digital analytics jobs of the kind Nichols has taken on. They enable GE to track wear and tear on its aircraft engines, locomotives, gas turbines, and wind turbines using sensor data instead of assumptions or estimates, making it easier to predict when they will need maintenance. What's more, if data is corrupted or missing, the company fills in the gaps with the aid of machine learning, a type of AI that lets computers learn without being explicitly programmed, says Colin Parris, GE Global Research's vice president for software research. Parris says GE pairs computer vision with deep learning, a type of AI particularly adept at recognizing patterns, and reinforcement learning, another recent advance in AI that enables machines to optimize operations, to enable cameras to find minute cracks on metal turbine blades even when they are dirty and dusty.


General Electric Builds An Ai Workforce MIT Technology Review Stage Fright Media

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So far, nearly 400 employees from across the company have completed GE's certification program for data analytics, and about 50 scientists have moved into digital analytics jobs of the kind Nichols has taken on. They enable GE to track wear and tear on its aircraft engines, locomotives, gas turbines, and wind turbines using sensor data instead of assumptions or estimates, making it easier to predict when they will need maintenance. What's more, if data is corrupted or missing, the company fills in the gaps with the aid of machine learning, a type of AI that lets computers learn without being explicitly programmed, says Colin Parris, GE Global Research's vice president for software research. Parris says GE pairs computer vision with deep learning, a type of AI particularly adept at recognizing patterns, and reinforcement learning, another recent advance in AI that enables machines to optimize operations, to enable cameras to find minute cracks on metal turbine blades even when they are dirty and dusty.