Towards a self-tuned data analytics-based process for an automatic context-aware detection and diagnosis of anomalies in building energy consumption timeseries
Roberto Chiosa, Marco Savino Piscitelli, Cheng Fan, Alfonso Capozzoli
Topics & Concepts
Context (archaeology)AnalyticsEnergy consumptionComputer scienceConsumption (sociology)Process (computing)Time seriesEnergy (signal processing)Data miningReal-time computingData scienceMachine learningEngineeringStatisticsGeographyMathematicsSociologyArchaeologySocial scienceOperating systemElectrical engineeringAnomaly Detection Techniques and ApplicationsTime Series Analysis and ForecastingAdvanced Chemical Sensor Technologies