Developing predic�ve models for fuel proper�es, par�cularly focusing on net heat of combus�on (NHOC) and density in alterna�ve fuels, involves systema�cally integra�ng experimental or computa�onal data and machine learning algorithms. Training data collec�on is a crucial first step, which depends on experimentally measured values. Experimental measurements u�lize different devices. For instance, calorimeters are the major measurement devices for accurately and reliably determining the NHOC of alterna�ve fuels.