Litcius/Paper detail

Application of an explainable glass-box machine learning approach for prognostic analysis of a biogas-powered small agriculture engine

Mehdi Jamei, Prabhakar Sharma, Mumtaz Ali, Bhaskor Jyoti Bora, Anurag Malik, Prabhu Paramasivam, Aitazaz A. Farooque, Shahab Abdulla

2023Energy26 citationsDOI

Topics & Concepts

Random forestBiogasMean squared errorGradient boostingNOxGreenhouse gasRenewable energyComputer scienceBoosting (machine learning)Machine learningEnvironmental scienceProcess engineeringMathematicsEngineeringWaste managementChemistryStatisticsCombustionBiologyOrganic chemistryElectrical engineeringEcologyEnergy, Environment, and Transportation PoliciesEnergy and Environment ImpactsEnergy Load and Power Forecasting
Application of an explainable glass-box machine learning approach for prognostic analysis of a biogas-powered small agriculture engine | Litcius