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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

2022Energy and Buildings27 citationsDOI

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
Towards a self-tuned data analytics-based process for an automatic context-aware detection and diagnosis of anomalies in building energy consumption timeseries | Litcius