End User
City of Athens
Description
This AI service assigns a quantitative efficiency score to each municipal building by comparing its actual energy performance to similar buildings in the city. The score reflects how efficiently a building uses energy relative to its size, use, and category.
Core Capabilities
Monitoring & Anomaly Detection
Predictive & Prescriptive Analytics
Business Need
Targeted retrofitting: focus investments where they’ll have the biggest impact, tracking over time: see if upgrades or behavior changes improve scores, grant support: use scores to justify funding for energy efficiency projects.
Key Performance Indicators
Scoring Consistency (Evaluate if similar buildings receive similar scores)
Sensitivity to Outliers (Tests model’s robustness to extreme consumption data)
Data Provided
Building Metadata (size, building category, year of construction) - 500 buildings with the potential for expansion -no documentation-static data
Historical Energy Consumption Bills – 500 buildings – no documentation – monthly
Historical Energy Consumption – 50 buildings with the potential to add more as smart meter installations progress – no documentation – hourly
TEF
TEF BUILD