Litcius/Paper detail

A comprehensive machine learning-coupled response surface methodology approach for predictive modeling and optimization of biogas potential in anaerobic Co-digestion of organic waste

Aqueel Ahmad, Ashok Kumar Yadav, Achhaibar Singh, Dinesh Singh

2023Biomass and Bioenergy90 citationsDOI

Topics & Concepts

BiogasResponse surface methodologyAnaerobic digestionMean squared errorBoosting (machine learning)AdaBoostCentral composite designRenewable energyBioenergyCoefficient of determinationRobustness (evolution)Process engineeringMathematicsMachine learningBiological systemComputer sciencePulp and paper industryBiofuelEngineeringStatisticsSupport vector machineChemistryWaste managementBiologyElectrical engineeringOrganic chemistryMethaneGeneBiochemistryAnaerobic Digestion and Biogas ProductionEnergy and Environment ImpactsHybrid Renewable Energy Systems
A comprehensive machine learning-coupled response surface methodology approach for predictive modeling and optimization of biogas potential in anaerobic Co-digestion of organic waste | Litcius