Develop an advanced data visualization platform that analyzes smart meter data to monitor energy consumption patterns across residential and commercial zones. The system should provide predictive insights, anomaly detection, and interactive dashboards to help optimize energy usage and improve grid efficiency.
Collect smart meter datasets (real-time or simulated energy usage data).
Clean and preprocess time-series consumption data.
Store large-scale energy data in SQL/NoSQL database.
Build ETL pipeline for continuous data updates.
Implement anomaly detection for unusual consumption spikes.
Develop forecasting model for future energy demand.
Implement heatmaps for consumption density.
Enable filters for region, consumer type, and time.
Add alert system for abnormal usage.
Ensure scalable backend architecture.
Perform performance optimization.
Deploy system on cloud environment.
Document system architecture and analytics models.
