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Data-driven approach for the detection of faults in district heating networks

Enzo Losi, Lucrezia Manservigi, Pier Ruggero Spina, Mauro Venturini

2024Sustainable Energy Grids and Networks18 citationsDOIOpen Access PDF

Topics & Concepts

Nonlinear autoregressive exogenous modelFault (geology)Autoregressive modelComputer scienceIdentification (biology)Nonlinear systemPower (physics)ExploitFault detection and isolationReliability engineeringArtificial neural networkReal-time computingData miningEngineeringArtificial intelligenceEconometricsMathematicsBiologyPhysicsSeismologyQuantum mechanicsActuatorComputer securityGeologyBotanyIntegrated Energy Systems OptimizationBuilding Energy and Comfort OptimizationGeothermal Energy Systems and Applications
Data-driven approach for the detection of faults in district heating networks | Litcius