Research

The peer-reviewed science behind Struxiva.

Struxiva's methods are developed with Aalto University and published in peer-reviewed venues, with open code. Your engineers can check how the platform reaches its conclusions.

Peer-reviewed

Independent experts check the methods behind the platform before we rely on them in your buildings.

Open and reproducible

Code and case-study data are published where we can, so anyone can rerun the analysis.

Used in the product

Every paper here describes a method that is part of how Struxiva ingests, validates or analyses building data.

Publications

1 publication

2026 Book chapter Open access

Document intelligenceKnowledge graphsValidation

Towards Standardizing AI-Assisted Extraction of Building Knowledge from Heterogeneous Documents for Energy Analysis

Hatef Hajian, Andrea Ferrantelli

In Security Issues in the Transmission of SHM Data from Energy Networks in an XAI Environment, IOS Press, pp. 86–101

How to turn a building's scattered drawings, HVAC diagrams, energy certificates and meter data into one structured knowledge model, with every value traceable to its source and checked against measured energy use.

Read the paper → Code & data

First page of the paper Towards Standardizing AI-Assisted Extraction of Building Knowledge from Heterogeneous Documents for Energy Analysis, by Hatef Hajian and Andrea Ferrantelli

Open the paper ↗

See the method running on your buildings.

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