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
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
On predicting fuel consumption and productivity of wheel loaders
Validerat; 20101217 (root)
openaire +1 more source
Auto Machine Learning for predicting Ship Fuel Consumption
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
Optimizing Fuel Consumption Prediction Model Without an On-Board Diagnostic System in Deep Learning Frameworks. [PDF]
Keskin R, Belge E, Kutoglu SH.
europepmc +1 more source
Vehicle CO₂ emission prediction based on firefly with ant colony optimization tuned long short-term memory model. [PDF]
Abbas S +5 more
europepmc +1 more source
Enhancing Boiler Operational Economy via Data-Driven Collaborative Combustion Optimization. [PDF]
Sui Y +9 more
europepmc +1 more source
Ammonia Co-Firing in a Staged-Air Pulverized-Coal Boiler: Reactor-Network Prediction of Carbon Reduction and Nitrogen-Oxide Emissions. [PDF]
Hu Z, Wang Q, Sun Z, Wang Y, Wu D, Wu S.
europepmc +1 more source
Prediction of the performance of industrial gas turbine based on different environmental conditions. [PDF]
Nabi FG +6 more
europepmc +1 more source
Real-world mileage and survival of electric vehicles in Britain and implications for lifecycle emissions. [PDF]
Mehlig D, Staffell I.
europepmc +1 more source

