Software Engineering for AI-driven Building Operation
Building operations are energy-inefficient. Artificial Intelligence (AI)-driven control systems promise benefits through optimization and predictive control, but deploying them in real buildings reveals a significant software engineering (SE) challenge. SE for AI practices assume digital environments where failures mean poor user experience. Buildings are different. A bad control decision wastes energy irreversibly, violates occupant comfort, or accelerates equipment wear. Although actual safety-critical failures are rare, as real building automation systems are inherently fault-tolerant, the physical and lasting nature of even minor failures fundamentally changes SE4AI requirements. Root...
| Authors | Philipp Zech, Sascha Hammes, Johannes Weninger et al. |
|---|---|
| Primary category | cs.SE |
| Published | 17 August 2026 |
| Last updated at source | 17 August 2026 |
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