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.

Sustainable urban water decisions using Generative Artificial Intelligence (2025)
Presentation / Conference Contribution

Urban water systems are increasingly strained by the impacts of climate change, growing populations, and resource constraints, driving the need for more integrated and sustainable management solutions. Small and Medium-sized Enterprises (SMEs) are ce... Read More about Sustainable urban water decisions using Generative Artificial Intelligence.

Sustainable energy decision-making with an RAG-LLM system (2025)
Presentation / Conference Contribution

To reach the ambition of a net-zero economy by 2050, the UK aims to improve energy efficiency in all homes by 2035, targeting reductions in energy consumption and household expenses. Small and Medium-sized Enterprises (SMEs) play a critical part in t... Read More about Sustainable energy decision-making with an RAG-LLM system.

Political-RAG: using generative AI to extract political information from media content (2024)
Journal Article

In the digital era, media content is crucial for political analysis, providing valuable insights through news articles, social media posts, speeches, and reports. Natural Language Processing (NLP) has transformed Political Information Extraction (IE)... Read More about Political-RAG: using generative AI to extract political information from media content.

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.

Business insights using RAG–LLMs: A review and case study (2024)
Journal Article

As organizations increasingly rely on diverse data sources like invoices and surveys, efficient Information Extraction (IE) is crucial. Natural Language Processing (NLP) enhances IE through tasks such as Named Entity Recognition (NER), Relation Extra... Read More about Business insights using RAG–LLMs: A review and case study.