Berlin Energy Hackathon 2025 submission - An intelligent Battery Energy Storage System (BESS) monitoring and management platform with real-time analytics, anomaly detection, and energy forecasting capabilities.

• Sebastian Russo - GitHub
• Javier Peres - GitHub

MaxxWatt is a comprehensive energy management platform that combines:

• Real-time BESS data monitoring
• AI-powered anomaly detection
• Energy consumption forecasting
• Automated compliance reporting
• Interactive data visualization

The platform consists of two main components:

FastAPI-based REST API providing:

• Real-time streaming of BMS and PCS data
• Historical data analysis
• Anomaly detection algorithms
• Energy forecasting models

React-based web application featuring:

• Real-time monitoring interface
• Interactive charts and graphs
• Anomaly alerts and notifications
• PDF report generation

• Python 3.8+
• Node.js 16+
• npm or bun

cd api
pip install -r requirements.txt
python main.py

API will be available at http://localhost:8002

cd dashboard
npm install
npm run dev

Dashboard will be available at http://localhost:5173

• Real-time Data Streaming - Live BMS and PCS data visualization
• Anomaly Detection - AI-powered system health monitoring
• Energy Forecasting - Predictive analytics for energy planning
• Compliance Reporting - Automated PDF generation for regulations
• Interactive Analytics - Dynamic charts and performance metrics
• Multi-device Support - Responsive design for all screen sizes

Backend:

• FastAPI
• Python
• Pandas
• Server-Sent Events (SSE)

Frontend:

• React
• TypeScript
• Vite
• shadcn-ui
• Tailwind CSS

├── api/              # FastAPI backend
│   ├── main.py       # API entry point
│   ├── routers/      # API endpoints
│   ├── models/       # Data models
│   └── utils/        # Utility functions
├── dashboard/        # React frontend
│   ├── src/          # Source code
│   └── public/       # Static assets
├── images/           # Screenshots and assets
└── docs/            # Documentation

This project was developed for the Berlin Energy Hackathon 2025, focusing on innovative solutions for energy management and sustainability. Key achievements:

• Real-time processing of large BESS datasets (6GB+)
• Advanced anomaly detection algorithms
• Intuitive user interface for energy professionals
• Scalable architecture for enterprise deployment

🌱 Building the future of sustainable energy management