GridWise.AI- The power of Blockchain and AI in your hands!
Dashboard to display data highlights and inferences
An example displaying a possible trade
An example output for our dynamic load balancing and energy distribution algorithm
MetaMask handling the HardHat Local Network

⚡ GridWise.AI: Blockchain + AI for Smarter Energy Trading

🚀 Overview

GridWise.AI is an AI-powered, blockchain-based energy trading platform that enables peer-to-peer (P2P) transactions between households with solar energy surplus and those in need of energy.
By integrating deep learning techniques for demand forecasting and smart contracts for secure transactions, GridWise.AI ensures efficient, transparent, and decentralized energy distribution.

🔥 Inspiration

Traditional power grids face increasing challenges due to:
⚡ Energy waste from surplus renewable power.
⚡ Inefficient load balancing, leading to grid failures.
⚡ Lack of transparency in energy pricing and distribution.
⚡ We're already looking at a considerable depletion of natural resources and must naturally look to renewable forms of energy and its management.

We wanted to solve this by creating a decentralized, AI-driven marketplace where households can:
✅ Predict and optimize energy demand.
✅ Trade excess energy using blockchain for trust and transparency.
✅ Ensure fair pricing while reducing dependency on central grids.

⚡ What It Does

GridWise.AI provides a fully automated energy trading system that:
✅ Uses AI-powered forecasting to predict energy demand & supply.
✅ Dynamically balances the grid to optimize power usage.
✅ Enables P2P energy trading with blockchain smart contracts for security.
✅ Minimizes energy waste and prevents blackouts through real-time load adjustments.
✅ Keeps a solid track of everything happening in the ecosystem.

🔧 How We Built It

1️⃣ Simulated Solar Energy Data: Randomized energy generation and consumption for each house.

2️⃣ Developed a Blockchain-Based Smart Contract:

Houses could buy and sell energy with automated transaction execution.
Prices were dynamically adjusted based on real-time supply and demand.
The energy distribution looked both at maximizing seller profit and minimizing buyer loss.
In simple terms, we built a stock market for energy.

3️⃣ Integrated AI-Powered Energy Prediction:

Used LSTMs a type of Recurrent Neural Network to forecast future energy demand.

4️⃣ Implemented Load Balancing Algorithm:

Ensured optimal energy allocation to minimize waste.

5️⃣ Built a Web-Based Dashboard:

Users could monitor energy transactions in real-time.

🛠 Tech Stack & Architecture

🔗 Blockchain (Decentralized Trading)

Ethereum Smart Contracts (Solidity)
Hardhat (Local Blockchain Testing)
Web3.py (Blockchain Interaction)

🧠 AI & Machine Learning (Energy Forecasting & Optimization)

Time-Series Forecasting (LSTMs)
A recursive approach and a blockchain based approach for Load Balancing

📡 IoT & Edge Computing (Data Collection)

Simulated Smart Meters & Solar Panels
MongoDB-based real-time data streaming
Edge Computing with Raspberry Pi and Solar sensors (future integration)

🌐 Web & API (User Interaction & Trading System)

Backend: Mongo Atlas + SQLite3 (Python) + node.js
Frontend: Streamlit Framework (Python)
Database: MongoDB Atlas (Time-Series Data Storage)

🚧 Challenges We Ran Into

Optimizing real-time transactions on the blockchain to minimize gas fees.
Designing a fair energy pricing model based on a complex bidding algorithm for both buyers and sellers.
Handling real-time energy fluctuations while maintaining a stable grid.

🎯 Accomplishments That We're Proud Of

✅ Successfully integrated AI and blockchain in a single system.
✅ Created a fully automated energy trading smart contract.
✅ Developed an interactive visualization dashboard for real-time energy monitoring.
✅ Implemented real-time P2P energy transactions and smart contracts for verification on Ethereum & Hardhat.

📚 What We Learned

📌 How to optimize AI-powered energy forecasting for real-world applications.
📌 The challenges of blockchain-based trading, including security and transaction fees. 📌 The importance of real-time energy data integration for smart grid management.

🚀 Future Roadmap

🔹 Deploy on a Public Blockchain 🔹 Integrate Real IoT Smart Meters for live energy tracking and expose it more sources of renewable energy.
🔹 Develop Mobile App for P2P Energy Trading.
🔹 Incorporate Tokenized Carbon Credits to incentivize green energy.
🔹 Work with communities to build grids that utilize this technology.