A Predictive Model of Building Power Usage Through PI System and MATLAB Integration
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
MATLAB
Up Next:
Related Videos:
您也可以从以下列表中选择网站:
如何获得最佳网站性能
选择中国网站(中文或英文)以获得最佳网站性能。其他 MathWorks 国家/地区网站并未针对您所在位置的访问进行优化。
美洲
- América Latina (Español)
- Canada (English)
- United States (English)
欧洲
- Belgium (English)
- Denmark (English)
- Deutschland (Deutsch)
- España (Español)
- Finland (English)
- France (Français)
- Ireland (English)
- Italia (Italiano)
- Luxembourg (English)
- Netherlands (English)
- Norway (English)
- Österreich (Deutsch)
- Portugal (English)
- Sweden (English)
- Switzerland
- United Kingdom (English)
亚太
- Australia (English)
- India (English)
- New Zealand (English)
- 中国
- 日本Japanese (日本語)
- 한국Korean (한국어)