Comparison between purely statistical and multi-agent based ap-proaches for occupant behaviour modeling in buildings
Khadija Tijani (CSTB, G-SCOP\_GCSP, LIG Laboratoire d'Informatique de, Grenoble), Ayesha Kashif (G-SCOP\_GCSP), St\'ephane Ploix (G-SCOP\_GCSP),, Benjamin Haas (CSTB), Julie Dugdale (LIG Laboratoire d'Informatique de, Grenoble)

TL;DR
This paper compares statistical and multi-agent social simulation methods for modeling occupant door-opening behavior in office buildings, highlighting differences in approach and potential implications for building management.
Contribution
It introduces a comparative analysis of statistical versus multi-agent simulation approaches for occupant behavior modeling in buildings.
Findings
Multi-agent approach captures social interactions better.
Statistical method is simpler and faster to implement.
Differences in predicted occupant actions are identified.
Abstract
This paper analyzes two modeling approaches for occupant behaviour in buildings. It compares a purely statistical approach with a multi-agent social simulation based approach. The study concerns the door openings in an office.
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Taxonomy
TopicsBuilding Energy and Comfort Optimization · Urban Planning and Valuation · Urban Design and Spatial Analysis
