Energy Management Association Workshop:
Utilizing a Distributed Data and Computing Architecture in Analytics Application
Advances in analytics for equipment and device data have proven their value in the sustainability arena by dramatically improving energy efficiency, comfort and reducing operational costs. To realize the full benefits of analytics and the promise of the IoT, systems need to embrace the highly distributed nature of facilities and equipment systems by providing an architecture that enables data acquisition, analytics processing and control to occur where it is most efficient, cost effective, and reliable.
Learning Objectives
Understand the concept of a distributed, edge-to-cloud analytics architecture
Understand the benefits provided by implementing a distributed architecture
Understand the use of a distributed architecture in multiple real world applications
Understand analytics-driven control at the edge
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