United StatesReal estate2023 – ongoingVentas
Machine learning for building energy audits and decarbonization plans
Ventas reported producing 800 building decarbonization plans in less than 8 weeks
Problem
Ventas needed property-specific plans for buildings under its operational control. Individual engineering assessments across the portfolio would have taken years and substantial expense.
Approach
Ventas used a tool combining machine learning with physics-based modeling. It combined building information and utility bills with external data to estimate energy audits and compare improvement options. The resulting plans entered capital planning discussions with building operators.
Results
Takeaway
The completed result was a set of building plans. Energy savings and emissions reductions depended on subsequent implementation.
Categories
- Size
- Large enterprise
- Industry
- Real estate
- Business function
- Strategy and organizationProduction and quality
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and MLOptimization
- Adoption
- Vendor solution
- Evidence
- Company's own claim
Sources
Source summaries
A Ventas executive described using machine learning to create building-level energy plans. She reported delivery of 800 property-specific road maps in less than 8 weeks in spring 2023.
Full details are in the original sources.
