A methodology to determine the optimal train-set size for autoencoders applied to energy systems
Piero Danti, Alessandro Innocenti
Topics & Concepts
AutoencoderComputer scienceArtificial intelligenceDimensionality reductionMachine learningArtificial neural networkExploitDropout (neural networks)Deep learningPattern recognition (psychology)ScalabilityAnomaly detectionData miningDatabaseComputer securityEnergy Load and Power ForecastingAnomaly Detection Techniques and ApplicationsWater Systems and Optimization