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1 talk and 3 posters : METEODYN at WindEurope Technology Workshop 2026
From June 11 to 12, we will take part in the WindEurope Technology Workshop 2026 in Rotterdam, dedicated to Resource Assessment & Analysis of Operating Wind Farms.
Through three posters and one oral presentation, we will share recent technical work on several topics that directly support wind project development and operation: seasonal wind farm production forecasting, Meso-Micro Coupling, direction-dependent wake modelling and CFD-based LiDAR data correction. Together, these contributions reflect a common objective of reducing uncertainty and helping wind professionals make more robust technical decisions.
Discover our talk conference
“Skillful Seasonal Forecasting of Wind Farm Production Using Gradient Boosting Machines and Quantile Regression”
Presented by Gang Huang, Research Engineer from METEODYN
Rotterdam D – Friday, 12 June 2026, 13:30 – 14:30
This study presents a machine learning approach for seasonal wind energy forecasting 1 to 6 months ahead. It uses ECMWF seasonal forecast data as input to a gradient boosting model targeting monthly energy production from several wind farms in Pays de la Loire. Quantile regression is used to predict possible outcomes and forecast uncertainty, with emphasis on lower quantiles such as P90. The model is validated from 2017 to 2025 using CRPS and reliability diagrams, showing skill above climatology.
Gang Huang
Research Engineer, METEODYN
Dive into our three posters
Zixiao Jiang
Technical Director, METEODYN China
PO47 – “Applying Meso-Micro Coupling in Wind Resource Assessment in Challenging Cases: Validation and Insights“,
Presented par Zixiao Jiang, Technical Director from METEODYN China
This study presents an enhanced Mesoscale-Microscale Coupling approach for wind resource assessment. It integrates mesoscale-derived statistical wind profiles as initial and boundary conditions, and as dynamic forcing terms within the computational domain. The method is tested on complex sites in China, including a wind corridor, a nearshore strait-influenced site and a high-altitude thermal site. It compares MMC with microscale-only approaches, identifies when MMC gives the greatest benefits, and provides recommendations on coupling height.
PO59 – “Hybrid Sector-Based Wake Superposition Modeling: Assessing Direction-Dependent Wake Effects and Wind Farm Performance Improvements“,
Presented by Selhia Idrissi, Wind Engineer from METEODYN
This study examines how wake overlap regimes influence the performance of wake superposition models. It compares the Jensen-Park and TurboGauss wake models with linear sum, quadratic sum and max-sum methods under aligned and oblique wind conditions. A hybrid sector-based approach is applied to three offshore wind farms with contrasting layouts, using normalized turbine production and SCADA data. Error metrics such as RMSE and MSE are used to assess relative performance by wind direction, showing reduced prediction error.
Selhia Idrissi
Wind Engineer, METEODYN
Edouard Leonard
Technical Product Manager, Senior Wind Expert, PhD, METEODYN
PO78 – « CFD-Based LiDAR Data Correction: A large-scale Validation Across 15 Sites in Brazil »,
Presented by Leonardo Chiquita, Project Engineer from Casa dos Ventos, and Edouard Leonard, Technical Product Manager from METEODYN
LiDAR and Remote Sensing Devices (RSDs) are becoming essential in wind energy thanks to their portability, flexibility, lower costs, and ability to measure wind at greater heights compared to traditional met masts. Complex terrain remains a challenge for LiDAR accuracy because heterogeneous airflow can introduce significant measurement bias.
Based on a scientific partnership with Casa Dos Ventos, a Brazilian leader in wind energy, we demonstrated the performance of Meteodyn WT lidar correction.
Our experts on site
Anthony Dijon
Business Manager, METEODYN
Xin Xie
Wind Assessment Engineer, METEODYN Chine
