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Machine learning approach for systematic analysis of energy efficiency potentials in manufacturing processes: A case of battery production

Sebastian Thiede, Artem Turetskyy, Thomas Loellhoeffel, Arno Kwade, Sami Kara, Christoph Herrmann

2020CIRP Annals57 citationsDOI

Topics & Concepts

Battery (electricity)TransferabilityProcess (computing)Production (economics)FootprintSensitivity (control systems)Computer scienceEfficient energy useMachine toolEnergy (signal processing)Manufacturing processReliability engineeringManufacturing engineeringProcess engineeringEngineeringIndustrial engineeringAutomotive engineeringMachine learningMechanical engineeringPower (physics)Electrical engineeringMaterials scienceElectronic engineeringStatisticsPaleontologyOperating systemLogitQuantum mechanicsMacroeconomicsComposite materialMathematicsEconomicsPhysicsBiologyEnergy Efficiency and ManagementManufacturing Process and OptimizationDigital Transformation in Industry
Machine learning approach for systematic analysis of energy efficiency potentials in manufacturing processes: A case of battery production | Litcius