Electricity demand forecasting and peak-demand projection system for the Delhi power grid.

This repository currently uses:

• Python for data processing, model training, inference, and exports
• React + Vite for the frontend dashboard

• src/: forecasting pipeline modules (feature engineering, training, inference, evaluation)
• data/: raw and generated forecast artifacts
• config/: runtime configuration
• frontend/: React dashboard (Vite + TypeScript + Tailwind)

python -m venv .venv

Linux/Mac:

source .venv/bin/activate

Windows:

.venv\Scripts\activate

1. Create and activate a virtual environment (see steps above).

2. Install dependencies:

pip install -r requirements.txt

3. Seed the admin account:

python src/auth/seed_admin.py

4. Start the uvicorn server:

uvicorn backend.main:app --reload

cd frontend
npm i
npm run dev