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muktarbdulkader/Electric-Demand-Forecasting-System

Domain:

environment and energy

Record type:

software
Creator:
muk
Host:
๐Ÿ‡ช๐Ÿ‡น ML-powered electricity demand forecasting platform for Ethiopian Electric Utility with React frontend, FastAPI backend, and AI chatbot # โšก Ethiopian Electric Utility - AI-Powered Demand Forecasting System **Accurate electricity demand prediction with machine learning, real-time insights, and comprehensive analytics for Ethiopia's national grid.** ## ๐Ÿ“‹ Table of Contents - Features - Screenshots - Quick Start - Installation - Project Structure - API Documentation - Data Upload Guide - ML Model Details - Configuration - Testing - Deployment - Contributing - License --- ## โœจ Features ### ๐Ÿ”ฎ **Smart Forecasting** - **ML-Powered Predictions**: Linear Regression with Ethiopian-specific seasonal patterns - **7-Day Forecast**: Weekly demand predictions with confidence intervals - **Real-time Updates**: Continuous model retraining with new data - **Custom Predictions**: Generate forecasts based on temperature, time, and regional factors ### ๐Ÿค– **AI Intelligence** - **Real-time Alerts**: Automatic anomaly detection and grid stress warnings - **Smart Recommendations**: Energy-saving and load-balancing suggestions - **Grid Analytics**: Regional performance and infrastructure insights - **Efficiency Scoring**: Household and regional consumption efficiency ratings ### ๐Ÿ‘ฅ **User Management** - **Secure Authentication**: JWT-based user registration and login - **Session Management**: Persistent user sessions with refresh tokens - **Profile Dashboard**: Personalized user interface and preferences ### ๐Ÿ  **Household Analytics** - **Consumption Tracking**: Register and monitor household electricity usage - **Population Integration**: Demand scaling based on regional population data - **Cost Estimation**: Monthly consumption cost projections ### ๐Ÿ“Š **Comprehensive Analytics** - **Interactive Visualizations**: Chart.js powered real-time charts - **Regional Breakdown**: All 11 Ethiopian regions with individual analytics - **Historical Analysis**: Peak demand, energy consumption, and trend analysis - **Data Statistics**: Dataset insights and model performance metrics --- ## ๐Ÿ–ผ๏ธ Screenshots | Dashboard | AI In โ€ฆ

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