A compositional kernel based gaussian process approach to day-ahead residential load forecasting
Khansa Dab, Kodjo Agbossou, Nilson Henao, Yves Dubé, Sousso Kélouwani, Sayed Saeed Hosseini
Topics & Concepts
Probabilistic forecastingComputer scienceGaussian processProbabilistic logicKernel (algebra)Set (abstract data type)Process (computing)Bayesian probabilityElectricityKrigingDemand forecastingElectric power systemMultivariate statisticsGaussianData miningMathematical optimizationPower (physics)Machine learningArtificial intelligenceEngineeringOperations researchMathematicsQuantum mechanicsOperating systemProgramming languageElectrical engineeringPhysicsCombinatoricsEnergy Load and Power ForecastingGrey System Theory ApplicationsGaussian Processes and Bayesian Inference