Michael Christopher, OSIsoft
Ahmad Fattahi, OSIsoft
In this presentation, we focus on showing the power of data. Using PI System as the enterprise data infrastructure, we collect samples of some physical quantities related to our office building, such as power consumption and outside temperature, on a regular basis. Over time, the data set becomes large. Leveraging the computational power of MATLAB, we integrate the two platforms, build a predictive model with MATLAB, funnel the data set, and train our model. In real time, we generate predictions of power consumption that incorporate data from a weather forecast web service. We also configure automatic notifications when power consumption deviates significantly from the "expected" level.
Recorded: 20 Sep 2012
Featured Product
Select a Web Site
Choose a web site to get translated content where available and see local events and offers. Based on your location, we recommend that you select: .
Select web siteYou can also select a web site from the following list:
Select the China site (in Chinese or English) for best site performance. Other MathWorks country sites are not optimized for visits from your location.
This website uses cookies to improve your user experience, personalize content and ads, and analyze website traffic. By continuing to use this website, you consent to our use of cookies. Please see our Privacy Policy to learn more about cookies and how to change your settings.