Empowering Wind Power Forecasting and Wind Ramp Detection Through a Data Analytics Marketplace

INESC TEC Power and Energy Systems Centre

Collaborative Forecasting Engine

Contribution Assessment Module

Permutation Importance

Shapley Values Importance

WARNING

• A forecaster considered to have low importance in a poorly performing model might be crucial for a high-performing model.

• Contribution score doesn't indicate the intrinsic predictive value of a forecaster on its own but rather how significant that forecaster is to a specific model.

Contributions

• Giovanni Buroni [email protected]
• Carla Gonçalves [email protected]
• José Andrade [email protected]
• André Garcia [email protected]
• Ricardo Bessa [email protected]

Contacts

If you have any questions regarding the methodology, please contact:

• Giovanni Buroni [email protected]