9998

buildings mapped

34960

housing units

94%

AI diagnosis coverage

29%

official diagnosis

2312

pre-1960 buildings

9998

buildings mapped

housing units

34960

94%

AI diagnosis coverage

29%

official daignosis

2312

pre-1960 buildings

Mapping and analyzing housing stock and diagnostics
in Noisy-le-Grand

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.

Mapping and analyzing housing stock and diagnostics
in Noisy-le-Grand

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.