Abstract:In energy intensive industrial systems, an evaporative cooling process may introduce operational flexibility. Such flexibility refers to a system's ability to deviate from its scheduled energy consumption. Identifying the flexibility, and therefore, designing control that ensures efficient and reliable operation presents a great challenge due to the inherently complex dynamics of industrial systems. Recently, machine learning models have attracted attention for identifying flexibility, due to their ability to … Show more
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