Results 1 to 10 of about 4,242,048 (285)

Leveraging Advanced Machine Learning Algorithms for Energy Efficiency and Carbon Footprint Reduction in Diesel Engines

open access: yesInternational Journal of Automotive Science and Technology
In this study, machine learning-based models were employed to estimate brake-specific fuel consumption (BSFC) using the data derived from 300 experimental engine tests conducted under varying loads, EGR ratios, and fuel combinations.
Emrah Arda   +4 more
doaj   +1 more source

Interpretable, data-driven models for predicting shaft power, fuel consumption, and speed considering the effects of hull fouling and weather conditions

open access: yesInternational Journal of Naval Architecture and Ocean Engineering
In response to the global call for action to reduce CO2 emissions, operational measures such as speed, route optimization, and hull cleaning play a significant role in the maritime industry.
Hyun Soo Kim, Myung-Il Roh
doaj   +1 more source

Auto Machine Learning for predicting Ship Fuel Consumption

open access: yes, 2018
In recent years, machine learning has evolved in a fast pace as both algorithms and computing power are constantly improving. In this study, a machine learning model for predicting the fuel oil consumption from engine data has been developed for a cruise ship operating in the Baltic Sea.
Ahlgren, Fredrik, Thern, Marcus
openaire   +1 more source

Enhancing Boiler Operational Economy via Data-Driven Collaborative Combustion Optimization. [PDF]

open access: yesACS Omega
Sui Y   +9 more
europepmc   +1 more source

Prediction of the performance of industrial gas turbine based on different environmental conditions. [PDF]

open access: yesPLoS One
Nabi FG   +6 more
europepmc   +1 more source

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