A new energy consumption prediction method for chillers based on GraphSAGE by combining empirical knowledge and operating data
Zhiwen Chen, Qiao Deng, Hao Ren, Zhengrun Zhao, Tao Peng, Chunhua Yang, Weihua Gui
Topics & Concepts
ChillerEnergy consumptionConstruct (python library)Artificial neural networkComputer scienceEmpirical researchGraphEmpirical modellingEnergy (signal processing)Efficient energy useReliability engineeringEngineeringSimulationData miningArtificial intelligenceStatisticsMathematicsProgramming languagePhysicsElectrical engineeringTheoretical computer scienceThermodynamicsBuilding Energy and Comfort OptimizationEnergy Load and Power ForecastingSmart Grid Energy Management