GridSmart Energy
Decentralized Energy Trading & Smart Grid Management

Grid Overload & Inefficient Energy Distribution
Traditional power grids face critical transformer overload during peak hours, leading to blackouts and energy waste. Consumers lack visibility into grid status and have no mechanisms to participate in load balancing or trade excess energy with neighbors.
Transformer Overload Risk - Power transformers frequently exceed 85% capacity during peak hours (6-9 AM, 6-9 PM), risking blackouts and infrastructure damage
Wasted Renewable Energy - Households with solar panels cannot easily sell excess energy generation to neighbors, leading to wasted clean energy
No Consumer Incentives - Users have no financial motivation to reduce consumption during critical grid stress periods
Lack of Predictive Intelligence - Grid operators and consumers lack AI-powered forecasting to anticipate and prevent overload events
BlockDAG-Powered Smart Grid Ecosystem
GridSmartEnergy combines real-time blockchain grid monitoring, P2P energy marketplace, and AI predictions to create a transparent, incentivized ecosystem where consumers actively participate in grid stability while earning BDAG tokens.
Real-Time Transformer Monitoring - Live grid load tracking connected directly to BlockDAG blockchain, displaying current capacity (0-100%) with critical/warning/normal status indicators
Transparent Outage Tracking - Immutable blockchain records of every power outage by location, creating accountability and preventing discriminatory load shedding practices through verifiable data
P2P Energy Trading Marketplace - Decentralized marketplace enabling neighbors to trade energy within their transformer zone, with dynamic pricing (R10-15/kWh) and location-based matching. Enabled by Raspberry Pi-based energy monitors (~R6,700 per unit) installed at each household
Blockchain Incentive Rewards - Users commit to energy reduction during peak hours and earn BDAG tokens (2.5 BDAG/kWh base rate, 1.5x multiplier during peaks) recorded immutably on-chain
AI Predictive Intelligence - XGBoost machine learning forecasts grid overload events 1-48 hours in advance with 99.2% accuracy, enabling proactive load balancing and alerting users to upcoming incentive opportunities
Integrated BDAG Wallet - Built-in cryptocurrency wallet for managing earnings, viewing transaction history, tracking energy savings (kWh), and monitoring blockchain connection status
Key Features
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Impact & Achievements
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