Hybrid mechanistic/data-driven modeling for enhancing dynamic operations in electrolysis-based hydrogen production
Beatriz Dantas, Austin Braniff, Y. Liu, Sahithi Srijana Akundi, Zhane Ann Tizon, Shayan S. Niknezhad, Faisal Khan, E N Pistikopoulos, Fernando V. Lima, Yuhe Tian
Topics & Concepts
Computer scienceWeightingLeverage (statistics)Experimental dataHydrogen productionArtificial neural networkProcess (computing)Representation (politics)ThermalHybrid systemDesign of experimentsVoltageSystem dynamicsEnsemble forecastingMass transferDynamic dataProcess modelingChemical processSynthetic dataTransfer of learningHybrid algorithm (constraint satisfaction)Biological systemPolarization (electrochemistry)Data miningHeat transferArtificial intelligenceData modelingMachine learningMultiscale modelingWork (physics)Dynamic simulationPolymer electrolyte membrane electrolysisHybrid Renewable Energy SystemsIntegrated Energy Systems OptimizationElectrocatalysts for Energy Conversion