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Human decisions are removed from wind farm operations. Turbine begins to learn at a geometric rate. It becomes self-aware at 2:14 a.m. Eastern time, August 29th.
— rottnest wind turbine (@Rottoturbine) February 27, 2019
Google using DeepMind to predict power output 36 hours ahead. https://t.co/UYMpLPjHA3
Google optimizing wind farms with DeepMind ML to predict power output by 36 hours https://t.co/VihpfP66pa by @technacity pic.twitter.com/4ptuGhRyjq
— Electrek.Co (@ElectrekCo) February 26, 2019
Another example of the positive values created by #AI | “Machine learning can help wind farm operators make smarter, faster and more data-driven assessments of how their power output can meet electricity demand” says Will Fadrhonc of @Google @GoogleAI: https://t.co/tNy6eel85s
— Kai-Fu Lee (@kaifulee) February 27, 2019
Google and DeepMind are using AI to predict the energy output of wind farms https://t.co/hszP2aduuh via @Verge
— Ariel Arrieta (@aarrieta) February 27, 2019
#Google and #DeepMind are using #AI to predict the energy output of wind farms
— Mark Stevenson (@TheDataAgent) February 27, 2019
@ralph_ohr @WSWMUC @_sabrina_martin @fogoros @akwyz @antgrasso @mirko_ross https://t.co/jNdXKkpVZq
Google and DeepMind are using AI to predict the energy output of wind farms https://t.co/1Dw5HwJE0v pic.twitter.com/kV2hFEf9hv
— The Verge (@verge) February 26, 2019
Google and DeepMind are using AI to predict the energy output of wind farms https://t.co/zpCqK0GNlw via @Verge
— Michael Terrell (@michael_terrell) February 26, 2019
Google and DeepMind are using AI to predict the energy output of wind farms https://t.co/1Dw5HwJE0v pic.twitter.com/bcYRpFhtrn
— The Verge (@verge) February 27, 2019
Great that DeepMind is making wind farms more effective, but what did happen to that project with the National Grid? The optimisation of Google's server cooling was back in 2016, and it's been very quiet since.https://t.co/rYf5tWdRCf
— Calum Chace (@cccalum) February 27, 2019
[버지] 구글과 딥마인드가 AI로 풍력발전소의 출력을 예측https://t.co/G8InTwD1M5
— 라루얀 / 말썽쟁이 구운 경단 ? (@LaruYan) February 27, 2019
딥마인드로 풍력발전 생산량을 예측. 변동성은 바람을 예측할 수 없는 에너지원으로 만든다며 머신러닝으로 날씨예보를 학습해 36시간 앞서 바람을 예측하는데 성공 pic.twitter.com/PkhtCyAhgC
Google’s DeepMind is using machine learning to predict wind turbine energy production https://t.co/aVtYkLH9xe #google #deepmind #Sustainability #ai #ArtificialIntelligence pic.twitter.com/vg0QfmnyZx
— Nige Willson (@nigewillson) February 27, 2019
DeepMind’s AI is predicting how much energy Google’s wind turbines will produce https://t.co/F68WoJn2Bj
— Jennifer Ouellette (@JenLucPiquant) February 27, 2019
Oooooklahoma, where the AI comes predictin' down the plain: Neural net spins up wind turbine power estimates
— Iain Brown, PhD (@IainLJBrown) February 27, 2019
Read more here: https://t.co/XDLuvJdZXx#DataScience #MachineLearning #ArtificialIntelligence #NLP #AI #IoT #BigData
“일정이 잡힐 수있는 (즉, 정해진 시간에 설정된 양의 전기를 공급할 수있는) 에너지 원은 종종 그리드에 더 가치가 있기 때문”
— Goodhyun 김국현 (@goodhyun) February 28, 2019
발전도 그렇지만, AI는 시가時価가 중요했던 모든 시장을 평평하게 만들 수도.
https://t.co/DHa0k5M8q8
#Google and #DeepMind are using #AI to predict the #energy output of #wind farms https://t.co/czNlFx4bRv pic.twitter.com/Kk1bPeTzW8
— #AI (@AI__TECH) February 28, 2019
London-based @DeepMindAI’s technology is helping @Google to use wind farms for their global green energy initiatives. https://t.co/HPL9i3251J
— James Cummings (@WestwoodLA) February 28, 2019
Learn it. #Google’s DeepMind is using machine learning to predict wind turbine energy production https://t.co/75jsi0t2iG via @VentureBeat #tech #digital #data #business pic.twitter.com/fKIApIf6ie
— Kohei Kurihara Blockchain CMO (@kuriharan) February 27, 2019
Google’s DeepMind is using machine learning to predict wind turbine energy production https://t.co/aVtYkLH9xe #google #deepmind #Sustainability #ai #ArtificialIntelligence pic.twitter.com/usKywGl8XA
— Nige Willson (@nigewillson) February 27, 2019