AI Wave Energy Forecasting
Uses AI to forecast wave conditions and optimize device control strategies to improve capture efficiency and survivability.
The Problem
“Uncertain wave power output disrupts grid planning”
Organizations face these key challenges:
High forecast uncertainty from rapidly changing sea-states leads to conservative bidding, imbalance penalties, and reduced merchant revenue
Limited visibility into site-specific wave transformation and device-level performance causes systematic bias in power estimates
Inefficient maintenance and marine operations planning increases vessel days, weather abort rates, and unplanned downtime
Impact When Solved
The Shift
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.