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Short-term forecasting of high-speed rail demand: A hybrid approach combining ensemble empirical mode decomposition and gray support vector machine with real-world applications in China

Forecasting MethodologyHigh-speed Rail DemandEngineeringData ScienceHybrid ApproachDemand ForecastingEnergy ForecastingSystems EngineeringEnergy PredictionForecastingFunctional Data AnalysisTransportation EngineeringIntelligent ForecastingShort-term Forecasting