Our research approach

NEXT-WIND connects five work packages, linking weather prediction with energy forecasting, contractual design and infrastructure planning.

Work Package 1 — AI-based weather forecasting

We are enhancing a machine-learning-based regional weather model for wind energy applications. The research focuses on high-resolution forecasts of wind speed and direction at turbine height, together with the prediction of rapid changes in wind conditions.

Alongside forecasts of the most likely weather conditions, we are developing probabilistic forecasts that describe a range of possible outcomes and their likelihood. The models will be evaluated against onshore and offshore observations and benchmarked against established forecasting systems.

WP leader: RMI

Contributors: UAntwerp - 3E - PropheSea - Elicio

Work Package 2 — Wind power and electricity price forecasting

We are translating advances in weather prediction into improved forecasts of wind power production and electricity market conditions.

By combining meteorological information with operational data and market analytics, this work package develops methods to forecast production, identify rapid changes in power output and assess uncertainty. It also investigates how improved weather and generation forecasts can support electricity price forecasting and operational decisions.

WP leader: UAntwerp

Contributors: RMI - KU Leuven - 3E - PropheSea - Elicio

Work Package 3 — Better power purchase agreements

Power purchase agreements, or PPAs, are long-term contracts between electricity producers and buyers. Their design determines how production and price risks are shared.

This work package investigates how improved forecasts, market information and regulatory insights can inform PPA design and negotiation. The aim is to identify contractual arrangements that better reflect uncertainty, allocate risks appropriately and support investment in wind energy.

WP leader: Elicio

Contributors: KU Leuven - 3E - PropheSea

Work Package 4 — Risk-based infrastructure planning

Infrastructure decisions shape the performance and profitability of wind farms for many years.

We are developing planning methods that account for uncertainty in wind production and electricity prices. These methods will assess turbine selection, balancing strategies and options for integrating battery storage or additional renewable generation, including floating solar. The aim is to help developers evaluate trade-offs between investment costs, energy production, market value and grid constraints.

WP leader: KU Leuven

Contributors: Elicio - PropheSea - 3E

Work Package 5 — Coordination, knowledge exchange and communication

This work package connects the research activities and supports collaboration across the consortium.

It covers project coordination, progress monitoring, stakeholder engagement and the dissemination of findings. Scientific publications, workshops and public communication will share knowledge with researchers, industry, policymakers and other interested audiences.