AmmarJemil/Ethiopian-Electric-Utility

Ethiopian Electric Utility - AI-Powered Demand Forecasting System # ⚡ Ethiopian Electric Utility: AI-Powered Electricity Demand Forecasting System ## 📋 Executive Summary > **A cutting-edge full-stack AI platform** that leverages machine learning to predict Ethiopia's electricity demand, monitor grid health, and provide actionable insights for optimizing national energy distribution and planning. --- ## 🎯 Vision & Mission **Vision**: To establish Ethiopia as a leader in AI-driven energy management across Africa. **Mission**: Provide the Ethiopian Electric Utility with an intelligent forecasting system that enhances grid reliability, reduces operational costs, and supports sustainable energy planning for millions of households and industries. --- ## ✨ Core Capabilities ### 🔮 **Predictive Intelligence** - **Multi-horizon Forecasting**: Hourly, daily, weekly, and monthly demand predictions - **Weather-Integrated Models**: Temperature, humidity, and seasonal factor integration - **Regional Forecasting**: 12 regional breakdowns plus national aggregate predictions - **Holiday & Event Awareness**: Special day adjustments and anomaly detection ### 🏗️ **Grid Health Monitoring** - **Real-time Stress Detection**: AI-powered grid load monitoring - **Risk Alerts**: Early warning system for potential blackouts - **Efficiency Recommendations**: Automated optimization suggestions - **Infrastructure Analytics**: Load distribution and bottleneck identification ### 👥 **Stakeholder Management** - **Multi-tier Access**: Role-based permissions (Administrator, Analyst, Viewer) - **Personalized Dashboards**: Customizable views per user role - **Secure Authentication**: JWT-based authentication with refresh tokens - **Audit Logging**: Comprehensive activity tracking ### 🏠 **Household Analytics Suite** - **Consumption Tracking**: Per-household electricity usage monitoring - **Cost Estimation**: Real-time bill calculation and projections - **Efficiency Benchmarking**: Comparative analysis against regional averages - **Usage Pattern Analysi …