Challenge Area:
Energy access in off-grid communities.

Problem Statement:
Off-grid households rely on costly and polluting energy sources due to unpredictable renewable energy supply.

Solution Concept:
Create an AI-optimized microgrid management system that forecasts energy demand and solar/wind generation to balance supply efficiently.

Expected Impact:
Provide reliable energy to 5,000 households, reducing fossil fuel use by 30%.

Next Steps:
Simulate microgrid models, develop forecasting algorithms, and pilot in a rural community.

Challenge Area:
Energy Efficiency

Problem Statement:
Households waste energy due to inefficient consumption patterns, increasing costs and emissions.

Solution Concept:
Create an AI-driven energy optimization tool that analyzes smart meter data to recommend usage adjustments, using time-series clustering and predictive modeling. The PoC ensures data quality for meter readings and modular code for integration with smart home devices.

Expected Impact:
Cuts energy waste by 20%, saving $100 annually per household.

Next Steps:
Support renewable energy integration, enhance user interfaces, and ensure GDPR-compliant data handling.