All Outputs (7)

Monitoring indoor environmental conditions in office buildings using a sustainable Agentic RAG-LLM system (2025)
Journal Article

Indoor Environmental Conditions (IEC) play a crucial role in determining the health, productivity, and overall building performance of employees, as well as their energy consumption. Key parameters, such as temperature and humidity, are not only vita... Read More about Monitoring indoor environmental conditions in office buildings using a sustainable Agentic RAG-LLM system.

Decision support for building thermal comfort monitoring with a sustainable GenAI system (2025)
Presentation / Conference Contribution

Staff expenses can account for up to 70% of business costs, with indoor conditions playing a critical role in employee health, behavior, and productivity. Optimal thermal comfort, typically around 21°C with 40-70% humidity, maximizes productivity. Ho... Read More about Decision support for building thermal comfort monitoring with a sustainable GenAI system.

Driving sustainable energy transitions with a multi-source RAG-LLM system (2024)
Journal Article

By 2035, the UK aims to upgrade all homes to achieve a net-zero economy by 2050, thereby reducing energy consumption, household costs, and improving living conditions. Small and Medium-sized Enterprises (SMEs) play a crucial role in this transition.... Read More about Driving sustainable energy transitions with a multi-source RAG-LLM system.

The design and validation of a decision support system (DSS) for the preliminary risk assessment of brownfield sites (PRABS) (2024)
Journal Article

Purpose
This study aims to design and validate a decision support system (DSS), named preliminary risk assessment of brownfield sites (PRABS). It is intended that the proposed DSS will aid the identification of potential hazards and, in doing so, hi... Read More about The design and validation of a decision support system (DSS) for the preliminary risk assessment of brownfield sites (PRABS).

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.