Monday, April 19, 2021
  • Setup menu at Appearance » Menus and assign menu to Top Bar Navigation
Advertisement
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News
No Result
View All Result
NikolaNews
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News
No Result
View All Result
NikolaNews
No Result
View All Result
Home Machine Learning

Thanks To Renewables And Machine Learning, Google Now Forecasts The Wind

May 31, 2020
in Machine Learning
Understanding The Recognition Pattern Of AI
586
SHARES
3.3k
VIEWS
Share on FacebookShare on Twitter

(Photo by Vitaly NevarTASS via Getty Images)

You might also like

Machine Learning market valuation to surge at 33.8% CAGR through 2025

Twitter analysing harmful impacts of its AI, machine learning algorithms

Machine Learning Helps Optimize Therapeutic Antibodies


Vitaly Nevar/TASS

Wind farms have traditionally made less money for the electricity they produce because they have been unable to predict how windy it will be tomorrow.

“The way a lot of power markets work is you have to schedule your assets a day ahead,” said Michael Terrell, the head of energy market strategy at Google. “And you tend to get compensated higher when you do that than if you sell into the market real-time.

“Well, how do variable assets like wind schedule a day ahead when you don’t know the wind is going to blow?” Terrell asked, “and how can you actually reserve your place in line?”

“We’re not getting the full benefit and the full value of that power.”

Here’s how: Google and the Google-owned Artificial Intelligence firm DeepMind combined weather data with power data from 700 megawatts of wind energy that Google sources in the Central United States. Using machine learning, they have been able to better predict wind production, better predict electricity supply and demand, and as a result, reduce operating costs.

“What we’ve been doing is working in partnership with the DeepMind team to use machine learning to take the weather data that’s available publicly, actually forecast what we think the wind production will be the next day, and bid that wind into the day-ahead markets,” Terrell said in a recent seminar hosted by the Stanford Precourt Institute of Energy. Stanford University posted video of the seminar last week.

The result has been a 20 percent increase in revenue for wind farms, Terrell said.

The Department of Energy listed improved wind forecasting as a first priority in its 2015 Wind Vision report, largely to improve reliability: “Improve Wind Resource Characterization,” the report said at the top of its list of goals. “Collect data and develop models to improve wind forecasting at multiple temporal scales—e.g., minutes, hours, days, months, years.”

Google’s goal has been more sweeping: to scrub carbon entirely from its energy portfolio, which consumes as much power as two San Franciscos.

Google achieved an initial milestone by matching its annual energy use with its annual renewable-energy procurement, Terrell said. But the company has not been carbon-free in every location at every hour, which is now its new goal—what Terrell calls its “24×7 carbon-free” goal.

“We’re really starting to turn our efforts in this direction, and we’re finding that it’s not something that’s easy to do. It’s arguably a moon shot, especially in places where the renewable resources of today are not as cost effective as they are in other places.”

The scientists at London-based DeepMind have demonstrated that artificial intelligence can help by increasing the market viability of renewables at Google and beyond.

“Our hope is that this kind of machine learning approach can strengthen the business case for wind power and drive further adoption of carbon-free energy on electric grids worldwide,” said DeepMind program manager Sims Witherspoon and Google software engineer Carl Elkin. In a Deepmind blog post, they outline how they boosted profits for Google’s wind farms in the Southwest Power Pool, an energy market that stretches across the plains from the Canadian border to north Texas:

“Using a neural network trained on widely available weather forecasts and historical turbine data, we configured the DeepMind system to predict wind-power output 36 hours ahead of actual generation. Based on these predictions, our model recommends how to make optimal hourly delivery commitments to the power grid a full day in advance.”

DeepMind Google AI Machine Learning Wind Power Output Forecasting

The DeepMind system predicts wind-power output 36 hours in advance, allowing power producers to make … [+] more lucrative advance bids to supply power to the grid.


Google

Credit: Google News

Previous Post

NSA warns of new Sandworm attacks on email servers

Next Post

Horizon Zero Dawn 2 is a Good Bet for Sony’s PS5 Event

Related Posts

Machine Learning market valuation to surge at 33.8% CAGR through 2025
Machine Learning

Machine Learning market valuation to surge at 33.8% CAGR through 2025

April 19, 2021
Twitter analysing harmful impacts of its AI, machine learning algorithms
Machine Learning

Twitter analysing harmful impacts of its AI, machine learning algorithms

April 19, 2021
Machine Learning Helps Optimize Therapeutic Antibodies
Machine Learning

Machine Learning Helps Optimize Therapeutic Antibodies

April 18, 2021
Researchers at MIT DAI Lab Have Recently Built Cardea: A Machine Learning Framework That Turns Health Care Data Into Insights
Machine Learning

Researchers at MIT DAI Lab Have Recently Built Cardea: A Machine Learning Framework That Turns Health Care Data Into Insights

April 18, 2021
Automating Drug Discovery With Machine Learning
Machine Learning

Automating Drug Discovery With Machine Learning

April 18, 2021
Next Post
Horizon Zero Dawn 2 is a Good Bet for Sony’s PS5 Event

Horizon Zero Dawn 2 is a Good Bet for Sony’s PS5 Event

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Recommended

Plasticity in Deep Learning: Dynamic Adaptations for AI Self-Driving Cars

Plasticity in Deep Learning: Dynamic Adaptations for AI Self-Driving Cars

January 6, 2019
Microsoft, Google Use Artificial Intelligence to Fight Hackers

Microsoft, Google Use Artificial Intelligence to Fight Hackers

January 6, 2019

Categories

  • Artificial Intelligence
  • Big Data
  • Blockchain
  • Crypto News
  • Data Science
  • Digital Marketing
  • Internet Privacy
  • Internet Security
  • Learn to Code
  • Machine Learning
  • Marketing Technology
  • Neural Networks
  • Technology Companies

Don't miss it

WordPress could treat Google FloC as a security issue
Internet Security

WordPress could treat Google FloC as a security issue

April 19, 2021
Machine Learning market valuation to surge at 33.8% CAGR through 2025
Machine Learning

Machine Learning market valuation to surge at 33.8% CAGR through 2025

April 19, 2021
Twitter analysing harmful impacts of its AI, machine learning algorithms
Machine Learning

Twitter analysing harmful impacts of its AI, machine learning algorithms

April 19, 2021
Machine Learning Helps Optimize Therapeutic Antibodies
Machine Learning

Machine Learning Helps Optimize Therapeutic Antibodies

April 18, 2021
Researchers at MIT DAI Lab Have Recently Built Cardea: A Machine Learning Framework That Turns Health Care Data Into Insights
Machine Learning

Researchers at MIT DAI Lab Have Recently Built Cardea: A Machine Learning Framework That Turns Health Care Data Into Insights

April 18, 2021
Automating Drug Discovery With Machine Learning
Machine Learning

Automating Drug Discovery With Machine Learning

April 18, 2021
NikolaNews

NikolaNews.com is an online News Portal which aims to share news about blockchain, AI, Big Data, and Data Privacy and more!

What’s New Here?

  • WordPress could treat Google FloC as a security issue April 19, 2021
  • Machine Learning market valuation to surge at 33.8% CAGR through 2025 April 19, 2021
  • Twitter analysing harmful impacts of its AI, machine learning algorithms April 19, 2021
  • Machine Learning Helps Optimize Therapeutic Antibodies April 18, 2021

Subscribe to get more!

© 2019 NikolaNews.com - Global Tech Updates

No Result
View All Result
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News

© 2019 NikolaNews.com - Global Tech Updates