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An innovative adaptive hybrid prediction model based on deep learning methods (CEEMDAN-GRU) for green hydrogen production, In case study: Turkey

Cem Emeksiz, Mustafa Tan

2023International Journal of Hydrogen Energy21 citationsDOI

Topics & Concepts

Hydrogen productionWind powerRenewable energyEnvironmental scienceMean squared errorWind speedMean absolute percentage errorMeteorologyTurbineWind power forecastingHydrogen fuelHydrogenStatisticsComputer scienceMathematicsPower (physics)PhysicsEngineeringThermodynamicsElectric power systemQuantum mechanicsElectrical engineeringHybrid Renewable Energy SystemsEnergy and Environment ImpactsEnergy Load and Power Forecasting
An innovative adaptive hybrid prediction model based on deep learning methods (CEEMDAN-GRU) for green hydrogen production, In case study: Turkey | Litcius