All Outputs (3)

Towards a blockchain and machine learning-based framework for decentralised energy management (2023)
Journal Article

In most domestic buildings, gas and electricity are supplied by energy and utility companies through centralised energy systems. This often results in a high burden on central management systems and has adverse effects on energy prices. Blockchain-ba... Read More about Towards a blockchain and machine learning-based framework for decentralised energy management.

An automated machine learning approach for classifying infrastructure cost data (2023)
Journal Article

Data on infrastructure project costs are often unstructured and lack consistency. To enable costs to be compared within and between organizations, large amounts of data must be classified to a common standard, typically a manual process. This is time... Read More about An automated machine learning approach for classifying infrastructure cost data.

A method to enable automatic extraction of cost and quantity data from hierarchical construction information documents to enable rapid digital comparison and analysis (2023)
Journal Article

Context: Despite the effort put into developing standards for structuring construction costs and the strong interest in the field, most construction companies still perform the process of data gathering and processing manually. This provokes inconsis... Read More about A method to enable automatic extraction of cost and quantity data from hierarchical construction information documents to enable rapid digital comparison and analysis.