… In this paper, an artificial neural network (ANN) was … artificial intelligence has enabled the
modeling of huge volumes of data for companies to reduce emissions and fuel consumption. …

… artificial intelligence model for reducing energy consumption in the mining industry. Many
parameters influence the fuel consumption … for the haul truck fuel consumption based on these …

… of machine learning to Big Data for fuel consumption … , for fuel consumption modelling,
and (3) to compare the performance of SVM, RF, and ANN in modelling the fuel consumption of …

… created artificial neural network to predict fuel consumption … artificial intelligence allows us
to estimate fuel consumption of … artificial neural networks to predict the fuel consumption of a …

… In order to reduce fuel consumption as well as CO2 emissions from ships, it is crucial to
be able to accurately calculate the impact of winds and waves on ship speed and …

… the sections is calculated and the fuel consumption is obtained by accumulating the predictions
obtained through the BSFC (brake-specific fuel consumption) curves of the engine and …

… Machine Learning models for explaining potential causes of abnormal fuel consumption in
… The explanations are used for generating recommendations about fuel optimization that are …

… of artificial intelligence (AI) techniques to identify an optimal machine learning (ML) model for
predicting dodecane fuel … This study employs artificial intelligence (AI) techniques to identify …

… Machine (EBM) model to predict fuel consumption of different types of industrial … Machine
Learning model also explains the relationship between the input factors and fuel consumption, …

… a fuel consumption prediction … fuel consumption is proportional to the engine power at
varying load and throttle settings. The developed neural network can predict the fuel consumption …