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

20–40% improvement in forecast accuracy across intra-day and day-ahead horizons using probabilistic AI forecasts2–5% reduction in curtailment and 5–15% reduction in balancing/imbalance costs through better dispatch and bidding5–10% lower O&M spend and 1–3 percentage point availability uplift from optimized maintenance windows and early anomaly detection

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.

Time-SeriesEmerging Standard

8.5

AI Grid Congestion Management

This AI helps optimize the layout of power grids to reduce congestion without increasing costs or carbon emissions.

optimizationgrowing

8.0