OSIsoft customer support intern, Miwa Teranishi, leverages the power of OSIsoft PI System and Falkonry LRS ready-to-use machine learning system to create an energy price prediction system to understand electricity pricing in Kyushu, Japan. With her system, energy consumers could identify the best time to consume or avoid electricity use during a day. Let’s take a look at her project in this video:
As Miwa highlighted, Falkonry LRS “makes creating models quite simple with no programming and no knowledge of data science algorithms required.” Further, the integration between OSIsoft and Falkonry allows customers to quickly unlock value from existing data assets and deliver insights from their PI System.
Thanks Miwa for a very interesting use of PI System and Falkonry LRS. This is a creative example of how automated machine learning could be applied to everyday challenges, like the daily, fluctuating price of electricity.
In addition to PI System, Falkonry LRS machine learning is easily integrated into many popular solution platforms such as Splunk and Microsoft Azure IoT, accelerating the time to value for customers.
If you’re interested in learning more, check out our Product page to watch a short demo of Falkonry LRS ready-to-use machine learning system.