AI-Powered Sustainable Smart Energy Management

Integrated platform for smart cities with data-driven forecasting, anomaly monitoring, and operational dashboards.

Up to 30% reduction target

Target accuracy above 90%

Around 10% emission cut

~40% fewer unplanned faults

Demand Forecasting

Forecast values are imported from offline ML runs and compared against actual readings.

Anomaly Alerts

Threshold and model-based alerts are surfaced to admins, managers, and end users.

Data Operations

Live streams, historical generation, and CSV export support fast experimentation.