Forecasting energy power consumption using federated learning in edge computing devices
Eduardo Montagner de Moraes Sarmento, Iran F. Ribeiro, Pablo Rafael Neves Marciano, Yrui Giovan Neris, Hélder R. O. Rocha, Vinícius F. S. Mota, Rodolfo da Silva Villaça
Topics & Concepts
Computer scienceSoftware deploymentArtificial intelligenceEdge computingMachine learningContext (archaeology)Energy consumptionDeep learningEnhanced Data Rates for GSM EvolutionArchitectureMultilayer perceptronArtificial neural networkEdge devicePerceptronProcess (computing)Data miningSoftware engineeringBiologyArtCloud computingEcologyOperating systemPaleontologyVisual artsEnergy Load and Power ForecastingBuilding Energy and Comfort OptimizationSmart Grid Energy Management