Virtual sensing refers to the process of estimating or predicting certain physical quantities or parameters without direct measurement, often using mathematical models, algorithms, or data from other sensors. Instead of using dedicated sensors for every parameter, virtual sensors leverage existing data (possibly from multiple sources) and apply algorithms—like machine learning, statistical methods, or physical models—to calculate the values of interest. **Key aspects of virtual sensing include:** 1.
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