🔋 AI Smart Microgrid Simulator (SDG 7)

An AI-powered Smart Microgrid Dashboard built for UN SDG 7: Affordable & Clean Energy.
This project simulates a renewable microgrid system using Real Weather Data (API) and Smart AI Decision Logic to allocate energy efficiently.

✅ Priority-based energy allocation
✅ Real-time monitoring dashboard
✅ AI suggestions + shortage detection
✅ Graphs + history + report export

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🌍 SDG Goal

✅ SDG 7: Affordable and Clean Energy

This project supports clean energy by demonstrating how solar + battery + intelligent decisions can reduce energy shortages, especially for critical loads like hospitals.

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🚀 Key Features

✅ AI + Smart Decision System

• Priority-based power distribution:
  • 🏥 Hospital (High Priority)
  • 🏫 School (Medium Priority)
  • 🏠 Homes (Low Priority)
• AI suggestions/recommendations during shortages

✅ Real Weather Integration (Level 1 Real Project)

Uses real-time weather conditions (cloud cover, sunrise, sunset) via Open-Meteo API

• Solar generation changes based on real cloud cover 🌤️☁️

✅ Dashboard (PRO ULTRA UI)

• Sticky top navbar + sidebar navigation
• Dark Mode 🌙
• Auto-run simulation with interval control
• Alerts with shortage beep 🔊
• Trend chart (Last 10 runs demand vs supply)
• Export CSV + download reports

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🧠 Where AI is Used?

✅ AI in this project is implemented as an Intelligent Decision System:

• The system detects shortage situations
• Automatically allocates limited energy using priority
• Generates AI suggestions to improve stability (reduce demand / increase battery / add solar panels

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🧰 Tech Stack

• Backend: Python + Flask
• Frontend: HTML, CSS, JavaScript
• Charts: Chart.js
• Weather API: Open-Meteo (No API Key required)
• Exports: JSON/TXT/CSV reports

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📂 Project Structure

AI-Microgrid-Simulator/
│
├── app.py
├── microgrid.py
├── templates/
│   └── index.html
├── static/
│   ├── style.css
│   └── script.js
└── README.md