AI Peer-To-Peer Energy Trading
Matches local buyers and sellers and optimizes bids/offers using AI while respecting network and settlement constraints.
The Problem
“Inefficient local energy trading and grid congestion”
Organizations face these key challenges:
DER volatility and uncertainty: inaccurate PV/load/EV forecasts cause imbalance costs, curtailment, and poor participant experience
Grid constraint risk: unmanaged local exports/imports can overload transformers/feeders and create voltage excursions, limiting DER hosting capacity
Complex settlement and trust: high transaction volumes, meter data quality issues, and potential gaming increase reconciliation effort and dispute rates
Impact When Solved
Real-World Use Cases
AI in Energy Industry: Smart Grid Optimization and Energy Management
This is like giving the entire power system—power plants, grids, and large customers—a real‑time ‘autopilot’ that constantly predicts demand, reroutes electricity, and tunes equipment so you use less fuel, waste less energy, and keep the lights on more reliably.
AI Grid Congestion Management
This AI helps optimize the layout of power grids to reduce congestion without increasing costs or carbon emissions.