How AI Helps Find Energy in the Wind
Gale force announcements by President Biden and GM have jolted the wind energy industry into high gear. Over the next decade, analysts anticipate a 3,000% increase in wind energy production. AI, data scientists, and human creativity will play an essential role.
So it’s timely that Catalina Hererra and a panel of wind energy experts describe the latest on how to use data science to optimize wind energy discovery and production. There’s so much in this session I’ve split it into a series of posts for this week.
Geoffrey S Lakings of Rippling Nature advises that collaboration with open data is an essential step to accelerate wind energy infrastructure. Wind energy projects are complicated and use massive mounds of data. Team Herrerra shows how shared data helps human wind energy experts work together to discover insights.
Hererra shows how shared data helps human wind energy experts work together to discover insights. This dashboard shows active wind projects in Texas, historical trends across wind stations, and the weather variations by station.
Open data projects borrow ideas from oil & gas projects like OSDU. With over 600 members from Exxon to Chevron to Schlumberger, OSDU is like the human genome project for energy exploration. The idea is to share data for the greater good.
There’s electricity in the wind. Here’s hoping industry players put more “energy” into open data for wind power, too.
Better collaboration with data will accelerate clean wind energy capability. This dashboard shows active wind projects in Texas, historical trends across wind stations, and the variations in the weather, by station. Featured in Global Electrification: TIBCO Analytics Enables Wind Power around the World
