A predictive–comparative framework for construction cost control using long short-term memory and digital twin technologies
Description
This dataset supports the reproduction and extension of the experiments reported in “A predictive–comparative framework for construction cost control using long short-term memory and digital twin technologies”. It includes curated datasets and examples for LSTM-based construction cost forecasting, together with Digital Twin and BIM-enabled progress verification components. The package provides (i) processed training and evaluation data or scripts to generate the training inputs, (ii) a real-world case study example set, (iii) runnable code and configuration files for reproducing the main results, and optionally (iv) pre-trained model checkpoints and example outputs. Sensitive identifiers and project-specific confidential materials are removed or not included where applicable. Detailed file structure, usage instructions, and reproduction steps are provided in Dataset_Description.pdf.
Files
Steps to reproduce
Detailed file structure, usage instructions, and reproduction steps are provided in Dataset_Description.pdf.