End User
CPO
Description
This service leverages advanced AI techniques to forecast energy production from wave power plants. By integrating real-time sensor data, historical generation records, and weather forecasts, the AI models produce short-term (0-48 hours ahead) predictions. The forecasts support operational planning, power trading and grid balancing. Ultimately, this service aims to enhance plant efficiency and optimize energy trading strategies.
Core Capabilities
Predictive & Prescriptive Analytics
Optimization & Decision Support
Business Need
The unpredictable wave conditions significantly impact generation from wave power generators. This service addresses the need for accurate, real-time forecasting to ensure efficient energy production, optimize trading strategies, and improve grid reliability.
Key Performance Indicators
Forecasting accuracy (Mean Absolute Error - MAE)
Response time
Data Provided
Real-time sensor data from wave plant turbines (power generation, weather conditions, wave size and frequency, etc.)
Historical wave power generation data
Historical wave weather data (wave size, wave frequency, wind speed, etc.)
Open-source weather forecasts
TEF
TEF RES