Abstract: Residential energy consumption is rapidly increasing every year due to demographic and behavioral changes, such as the rising population and the adoption of work-from-home post-COVID-19.
This project develops machine learning ML surrogate models to approximate the performance of a binary distillation column. Process data is generated using DWSIM, an open-source process simulator, by ...
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