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AI for Good Innovate for Impact
Use Case 4: AIrth – AI for Energy Efficiency and Emissions Reduction� Change 4.2-Climate
Organization: Airth
Country: Georgia
Contact Person(s):
Lado Bitsadze – bitsadzelado@ gmail .com
1 Use Case Summary Table
Item Details
Category Climate Change/Natural Disaster
Problem Addressed Lack of accessible, real-time tools to reduce energy waste and carbon
emissions in homes and businesses.
Key Aspects of Solution - Real-time energy monitoring
- AI-based forecasting and anomaly detection
- Personalized energy-saving recommendations
- Integrated carbon credit marketplace
Technology Keywords Artificial Intelligence, Machine Learning, Energy Optimization, IoT,
Carbon Footprint Analysis
Data Availability Private: Energy usage data via smart meters or IoT sensors
Metadata (Type of Data) Time-series data, sensor readings, user interaction logs
Model Training and Supervised learning and time-series forecasting (e.g., LSTM); model
Fine-Tuning adapts based on user behavior and seasonal patterns
Testbeds or Pilot Deploy- Prototype tested with simulated data; pilots in planning with SMEs
ments in Georgia
Code Repositories GitHub: AIrth
163
