Keyword: Machine Learning

Scalability in Building Component Data Annotation: Enhancing Facade Material Classification with Synthetic Data

Machine Learning Model Prediction of Project Success

Identifying Reference Districts by means of Machine Learning and Open-Source Data

A Graph Based Framework to Support Data-driven Urban Building Energy Simulations

Residential building energy performance prediction at an urban scale using ensemble machine learning algorithms

Machine learning-based fault detection and preliminary diagnosis for terminal air-handling units

Feature extraction for enhancing data-driven urban building energy models

Development of a framework for processing unstructured text dataset through NLP in cost estimation AEC sector

Advances in data-driven fault detection and diagnosis for HVAC systems: a review of recent developments

ScaleBIM: Introducing a scalable modular framework to transfer point clouds into semantically rich building information models