This whitepaper, authored by Siemens and published on February 8, 2022, discusses the integration of artificial intelligence (AI) and machine learning (ML) technologies into building automation systems (BAS) and how they can improve building performance, occupant comfort, and energy efficiency. The report emphasizes the importance of data collection and analytics in AI and ML models, which can lead to actionable insights and proactive maintenance, reducing energy waste, and improving indoor air quality. The document also provides examples of AI and ML applications, including fault detection and diagnostics, predictive maintenance, and occupant behavior analysis. Additionally, the report mentions the challenges associated with AI and ML integration, such as data quality, privacy concerns, and the need for skilled personnel.

Keywords: Building Retrofits, Control & Monitoring, Equipment/Sensors, Employee Productivity, Fire/Life Safety, Intelligent Building, Large Building Controls/Automation, Security, Risk

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