In Copenhagen, the municipal property and procurement department, Københavns Ejendomme og Indkøb (KEID), is working with Copenhagen Solutions Lab to reduce energy use in the city’s buildings using artificial intelligence and data-supported tools.2 The project aims to cut heating and electricity consumption and related CO₂ emissions while maintaining a good indoor climate.2
The approach is to make building energy management more efficient and automated. The tools are intended to use information such as local weather forecasts and how buildings are occupied to predict when, and how much, heat and electricity a building can use flexibly.2 This could help align demand with changing conditions in the energy network and the availability of renewable energy.24
The project’s intended outputs include practical AI tools for energy-conscious building operations and indoor-climate management, as well as recommendations that could help other municipalities design, use and scale data-driven solutions.2 Copenhagen’s work also sits within the wider AI4Cities initiative, a three-year EU-funded project involving six European cities and focused on applying AI to energy and mobility challenges.6 The available sources describe the project’s aims and planned outputs, but do not report quantified energy savings from this specific initiative.26