Carnegie Mellon Sees a Way to Cut Energy Use by 20 Percent with Cloud Machine Learning Solution
Carnegie Mellon Sees a Way to Cut Energy Use by 20 Percent with Cloud Machine Learning Solution
4 PagesCarnegie 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. “We see
