Solving The World’s Biggest Challenges with Big Data and AI

​–Data-Driven Energy #3

Nearly 30 years after the birth of the World Wide Web, we are living in a highly connected world where innovation has become a norm rather than exception. However, we are still working to solve the major challenges for mankind — be it climate change, healthcare or energy. Bernard Marr mapped some of the latest breakthroughs in big data and AI that will help us move further faster.

“AI systems will control smart grids around the world, distributing energy when it’s needed and rationing it when it isn’t. Google is already using a smaller version of this, employing AI to save on energy costs at its data centers to save millions of dollars.”
Bernard Marr, DataInformed

What caught my eye in energy this week:

E.ON is reducing O&M costs through strategic supplier relationships and sharing data.
One of the world’s largest investor-owned electric utility service providers, E.ON ​explained how they plan are aiming to reduce the levelized cost of energy to €30/MWh by strategic supplier relationships and sharing information.

An open-access virtual testbed for smart city simulations.
Using massive volumes of community data and big data analytics a team at Virginia Tech University aims to build a virtual testbed for creating and testing simulations for smart cities. The smart communities of the future will be self-sustainable with zero energy, zero outage and zero congestion.

Analysis of California’s 100% Renewable Energy Law.
Last week, California’s quest for a clean grid revolution culminated in the introduction of a bill mandating 100 percent renewable energy by 2045. Julian Spector from Greentech Media analysed the bill and explained what needs to be consider when they go 100% renewable.

Dream of U.S. offshore wind power may be too ugly for Trump.
There are many factors that make offshore wind a desirable source of renewable energy. From the fact that the winds blow stronger at sea and the coast allows to build extra large turbines that collect significantly more wind, to that the price of offshore wind energy dropped 22% in 2016.

Thanks for reading! If you’re curious about renewable energy, the role of data in the energy industry and tips and tools for data-driven businesses, then you are most certainly in the right place. I invite you to look at what we are doing with big data analytics in the renewable energy industry. Also, we are sending Data-Driven Energy blog posts also via email once a week, so simply add yourself to the list and find the next issue in your mailbox.

Previous post → “How Machine Learning Boosts Energy Production