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Deep clustering of Lagrangian trajectory for multi-task learning to energy saving in intelligent buildings using cooperative multi-agent

Raad Z. Homod, Hayder I. Mohammed, Aissa Abderrahmane, Omer A. Alawi, Osamah Ibrahim Khalaf, Jasim M. Mahdi, Kamel Guedri, Nabeel S. Dhaidan, A. S. Albahri, Abdellatif M. Sadeq, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬

2023Applied Energy33 citationsDOI

Topics & Concepts

Cluster analysisComputer scienceMathematical optimizationHVACReinforcement learningState spaceControl theory (sociology)EngineeringAir conditioningArtificial intelligenceMathematicsMechanical engineeringStatisticsControl (management)Building Energy and Comfort OptimizationRefrigeration and Air Conditioning TechnologiesHeat Transfer and Optimization
Deep clustering of Lagrangian trajectory for multi-task learning to energy saving in intelligent buildings using cooperative multi-agent | Litcius