New AI chatbot to improve energy labeling

Buildings account for 40% of Denmark’s total energy consumption, making energy efficiency in this sector crucial. The vast amounts of data in the Danish Energy Agency’s energy labeling database hold great potential for identifying and qualifying opportunities for energy improvements.

A recently completed innovation project, “Better Utilization of Energy Label Data with New AI Analysis Techniques,” has developed a prototype AI-based chatbot that can analyze energy labeling data and provide precise recommendations on how to optimize the energy labeling of a given building.

The idea is for the chatbot not only to suggest energy efficiency measures, but also how to implement them in the most effective and cost-saving way.

Jakob Nørby, a data-driven energy consultant and founder of 4B Consulting, part of the innovation project, says:

“Energy Cluster Denmark has been a great support for the project and quickly saw its value. It has been exciting to challenge the current approach to energy labeling and utilize existing data. As a society, we must accelerate the green transition of our building stock, and therefore we should utilize all available data. The next step is to secure funding to further develop our prototype for the benefit of all those working with buildings.”

The translation was written by an AI system, though the original text was authored by a human. Read the original article here