IBM has a machine learning project to forecast solar and of course it’s called (LOL) Watt-sun

Gigaom

What happens when you leverage technologies like IBM’s artificial intelligence engine Watson for clean power? The answer is the awesomely named Watt-sun project, a machine learning platform that IBM Research has quietly been building over the last year, and which is now highly accurate at predicting how cloud cover, weather and atmosphere (among many other data points) affect the way solar panel systems operate.

IBM's sky cameras installed at several solar farms to observe cloud cover. Image courtesy of IBM Research, Flickr Creative Commons. IBM’s sky cameras installed at several solar farms to observe cloud cover. Image courtesy of IBM Research, Flickr Creative Commons.

Solar forecasting has been around as long as solar panels have been plugged into the grid. But the forecasting systems historically haven’t been all that accurate, given that so many factors can contribute to the amount of sunlight that’s able to descend from the sky and onto the solar panel and then get converted into electricity.

To build a better system, Watt-sun created a platform that…

View original post 604 more words

Advertisements

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s