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Ontologies at Work - Analyzing Information Requirements for Model Predictive Control in Buildings

Association for Computing Machinery (ACM) via YouTube

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Watch a 16-minute conference talk from ACM researchers exploring how ontologies can be leveraged to analyze information requirements for implementing Model Predictive Control (MPC) in building systems. Learn about the research conducted by Anand Krishnan Prakash, Flavia De Andrade Pereira, Mario Bergés, Marco Pritoni, and Burcu Akinci as they examine the intersection of semantic modeling and building control systems. Discover how ontological frameworks can help identify and structure the complex data requirements needed for effective predictive control strategies in modern building automation.

Syllabus

Ontologies at Work Analyzing Information Requirements for Model Predictive Control in Buildings

Taught by

Association for Computing Machinery (ACM)

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