An advanced energy management IoT solution typically includes:

1. Real-time energy monitoring: Track energy consumption, voltage, current, and power factor.

2. Predictive analytics: Identify energy usage patterns, detect anomalies, and forecast energy demand.

3. Automated control: Optimize energy usage by controlling lighting, HVAC, and other equipment.

4. Energy optimization algorithms: Apply advanced algorithms to minimize energy waste.

5. IoT sensor integration: Incorporate data from various sensors, such as temperature, humidity, and occupancy.

6. Cloud-based platform: Access energy usage data, analytics, and controls remotely.

7. Machine learning: Continuously improve energy management based on historical data and real-time insights.

8. Integration with existing systems: Seamlessly connect with building management systems (BMS), supervisory control and data acquisition (SCADA) systems, and other energy management systems.

9. Advanced reporting and visualization: Provide detailed energy usage reports, dashboards, and alerts.

10. Scalability and flexibility: Accommodate growing energy management needs and adapt to changing energy landscapes.