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APAC Internship Project

Posted by mtippett Apr 27, 2017

Over the Australian summer holidays the three interns, Miwa Teranishi, Ryan Amaudruz, and Thomas Hahn (all from the University of New South Wales, Australia), worked on projects using PI and machine learning tools to investigate the Japanese and Australian electricity markets in OSIsoft's Tokyo, Sydney, and Perth offices.  Even in the short period of time they had to work with us, and a lack of any prior expertise with PI, they were able to develop some interesting models and gain some very interesting insights into these markets.


Some of the highlights of the results are:


Using PI and Falconry to predict the daily minimum electricity price in Japan


Using PI, Microsoft Azure, and only publicly available data to predict net aggregate solar generation in Western Australia, covering an area of 2.6 million square km.



An overview of their projects, along with some videos describing what they did, and how they did it are available in the blog post below:


Three Interns Describe Three Successful Machine Learning Projects


Additionally, a version of Miwa's video with Japanese subtitles is available on our OSIsoft Japan youtube channel at the link below:


OSIsoft Japan Intern Project 2016 – Power market forecasting with Falkonry - YouTube


This is a great example of how the PI system can easily be integrated with other platforms to provide a powerful results in a variety of fields.

For those of you that did not have a chance to attend the OSIsoft Academic Symposium on March 20th 2017, you can now view the sessions from the web site.  Some of the more noteworthy presentations were:


  • Panel Discussion: PI System for Data Science Research & Curricula.  Several panelists, including Don Paul of USC (ex-Chevron CTO), discussed how industry and academic are using the PI System for collaborative big data analytics and machine learning projects. Also, Lehigh University discussed their Data X program, where real-time data is being used as a component of big data analytics course at Lehigh University.  The link is here:


  • Pratt Rogers discussed how the University of Utah is including real-time data and the PI System into the metals and mining curriculum.  This enables the next generation of engineers to understand how industry leading companies handle their operations and maintenance data. The link is here: Big-Data-and-The-PI-System-–-Teaching-the-Next-Generation-of-Engineers



  • A presentation was jointly made by National Instruments (NI) and OSIsoft that described how both companies are working together to provide common solutions.  OSIsoft's Dan Lopez followed with a short demo showing how to write PI System data to NI's LabVIEW and how to write NI LabVIEW data into the PI System.  This solution is available to OSIsoft university customers at no cost.  For the academic community, it was also announced that OSIsoft is developing a hosted, cloud-based PI System that will be used in chemical engineering unit operations labs.  The PI System will read and store data from NI equipment, archive the data, and allow students and staff to visualize the real-time and historical data.  Students will also be able to download their experiment data for machine learning and analytics using tools such as R, Python, and Matlab.   Please contact for more specifics.