Publication | Open Access

Machine-learning methods for integrated renewable power generation: A comparative study of artificial neural networks, support vector regression, and Gaussian Process Regression

Gaussian Process RegressionSupport Vector MachineEngineeringSmart GridData ScienceSustainable EnergyEnergy ManagementEnergy OptimizationEnergy ForecastingMachine-learning MethodsEnergy PredictionComparative StudyIntelligent Forecasting