

30501
buildings mapped
136208
housing units
93%
AI diagnosis coverage
35%
official diagnosis
11448
pre-1960 buildings


30501
buildings mapped
housing units
136208
93%
AI diagnosis coverage
35%
official daignosis
11448
pre-1960 buildings
Big data insights of Rennes’s residential housing landscape
AI-renov provides an estimated energy performance label for these properties based on their current data. This estimation has no legal value and cannot replace an official Energy Performance Diagnosis carried out by a certified professional.
Estimation Methodology
The estimation by AI-renov' is based on available technical data such as:
Insulation performance of walls, windows, and roofing
Year of construction
Heating and domestic hot water systems
These data serve as inputs for the AI to simulate the thermal physical equations, which also considers the building's geometry and compactness.
When technical data is missing, they are estimated probabilistically using information from similar buildings. This introduces a higher degree of uncertainty in their estimation.
This estimated DPE is using open-access data from the French National Building Database BDNB.
Big data insights of Rennes’s residential housing landscape
AI-renov provides an estimated energy performance label for these properties based on their current data. This estimation has no legal value and cannot replace an official Energy Performance Diagnosis carried out by a certified professional.
Estimation Methodology
The estimation by AI-renov' is based on available technical data such as:
Insulation performance of walls, windows, and roofing
Year of construction
Heating and domestic hot water systems
These data serve as inputs for the AI to simulate the thermal physical equations, which also considers the building's geometry and compactness.
When technical data is missing, they are estimated probabilistically using information from similar buildings. This introduces a higher degree of uncertainty in their estimation.
This estimated DPE is using open-access data from the French National Building Database BDNB.
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Our offices:
Kaunas
Dimitri Ionescu
Paris
Marcel Dong
Barcelona
Oleksandra Bulanova
Paris
Marcel Dong
marcel@light-mirror.eu
dimitri@light-mirror.eu
aleksandra@light-mirror.eu
Transforming city renovation with AI-powered planning. Delivering 5,000x faster audits and up to 30% cost savings for municipalities, governments, and real estate portfolios worldwide.
Renovativ is an innovation developed by LightMirror - UAB Saulės šildymo architektūra, which was funded by the European Union under GA No.101070617. Views and opinions expressed are, however, those of the author(s) only and do not necessarily reflect those of the European Union. Neither the European Union nor the granting authority can be held responsible for them.

