Power Plant Performance Modeling with Concept Drift

Xu, Rui, Xu, Yunwen, Yan, Weizhong

arXiv.org Machine Learning 

In today's competitive business environment, power plant owners are constantly striving to reduce their operation and maintenance costs, thus increasing their profits. To enable plant owners to operate their plants more efficiently, it is important to develop advanced digital solutions (software and tools) that can provide decision support for the plant operation optimization. For example, Digital Power Plant, a part of the GE's vision for the digitization of industrial assets, is one of such technologies recently developed in GE. Digital Power Plant involves building a collection of digital models (both physics-based and datadrive), or "Digital Twins" as we call it at GE, which are used to model the present state of every asset in a power plant. This transformational technology enables utilities to monitor and manage every aspect of the power generation ecosystem to generate electricity as cleanly, efficiently, and securely.

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