The
present study is a novel work where diesel engine performance and
emission parameters are predicted based on a relationship developed
by hybrid models. To furnish accurate prediction, multiple models
are applied and compared on different parameters. These models are
further ranked for best performance and worst performance so as to
provide a future framework for upcoming researchers. The following
are a few benefits of this research.

Utilization of waste resources for production of biofuel,
thereby not harming the environment and providing a sustainable fuel
for diesel engines.

Furnishing a viable
interrelationship with a smaller
diesel engine data set with acceptable uncertainty levels.

Prediction of missing data, simply by incorporating
training and testing models separately.

Experimentation at a comparatively lower cost and lower
fuel consumption.

Faster result generation
using models that would consume
substantial time by a conventional experimentation process.