Carnegie Mellon Sees A Way To Cut Energy Use By 20 Percent With Cloud Machine Learning Solution

Provided by: Microsoft
Topic: Enterprise Software
Format: HTML
Carnegie Mellon University (CMU) uses Microsoft Azure and the PI System from Microsoft Global ISV partner OSIsoft to reduce building maintenance and energy costs. Now CMU has added Azure machine learning for better fault detection, diagnosis and more efficient operations. With these capabilities, CMU personnel gain advanced analytics for improved operational insights and decisions. And CMU gains a way to cut energy use by 20 percent. The CMU researchers envision the PI System and Microsoft Azure supporting not just researchers but also managers, engineers and technicians - the people who interact daily with building systems.

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