Timothy Verstraeten

Engineering · Physical Sciences

12h-index1.0kcitations97works1.82yr avg
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Research Topics

Machine Fault Diagnosis Techniques(31), Energy Load and Power Forecasting(21), Wind Energy Research and Development(16), Reinforcement Learning in Robotics(14), Gear and Bearing Dynamics Analysis(13)

Publications97 total

Herd Behavior in Decentralized Balancing Models: A Case Study in Belgium
arXiv (Cornell University)·2026Open Access
Herd Behavior in Decentralized Balancing Models: A Case Study in Belgium
ArXiv.org·2026Open Access
Probabilistic Wind Power Forecasting with Tree-Based Machine Learning and Weather Ensembles
arXiv (Cornell University)·2026Open Access
Probabilistic Wind Power Forecasting with Tree-Based Machine Learning and Weather Ensembles
ArXiv.org·2026Open Access
Scalable SCADA-driven failure prediction for offshore wind turbines using autoencoder-based NBM and fleet-median filtering
Wind energy science·2025Open Access
An assessment of the metocean conditions in the Belgian offshore zone
Journal of Physics Conference Series·2025Open Access
Leveraging signal processing and machine learning for automated fault detection in wind turbine drivetrains
Wind energy science·2025· 1 citedOpen Access
Day-ahead trading and power control for hybrid wind-hydrogen plants with multi-agent reinforcement learning
Applied Energy·2025· 2 cited
A Methodology for Turbine-Level Possible Power Prediction and Uncertainty Estimations Using Farm-Wide Autoregressive Information on High-Frequency Data
Energies·2025Open Access
Spatio-temporal graph neural networks for power prediction in offshore wind farms using SCADA data
Wind energy science·2025· 6 citedOpen Access
Day-Ahead Bidding Strategies for Wind Farm Operators Under a One-Price Balancing Scheme
2025· 1 citedOpen Access
A comparison between scanning LiDAR and scada-based hyperparameter tuning of analytical wake models
Journal of Physics Conference Series·2025Open Access
Optimal day-ahead trading and power control for a hybrid wind-hydrogen plant with multi-agent reinforcement learning
Journal of Physics Conference Series·2025Open Access
Scalable SCADA-driven Failure Prediction for Offshore Wind Turbines Using Autoencoder-Based NBM and Fleet-Median Filtering
2025· 1 citedOpen Access
Day-Ahead Bidding Strategies for Wind Farm Operators under a One-Price Balancing Scheme
arXiv (Cornell University)·2025Open Access
Power Prediction in Offshore Wind Farms using Transferable Multi-Task Graph Neural Networks
Journal of Physics Conference Series·2025Open Access
Modular deep learning approach for wind farm power forecasting and wake loss prediction
Wind energy science·2025· 3 citedOpen Access
Assessing the impact of wind profiles at offshore wind farm sites for field data-enabled design
2025Open Access
Day-Ahead Trading and Power Control for Hybrid Wind-Hydrogen Plants with Multi-Agent Reinforcement Learning
SSRN Electronic Journal·2025Open Access
Leveraging Signal Processing and Machine Learning for Automated Fault Detection in Wind Turbine Drivetrains
2024· 1 citedOpen Access
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Frequent Co-authors

Jan Helsen(31), Ann Nowé(29), Pieter-Jan Daems(21), Diederik M. Roijers(13), Cédric Peeters(12), Pieter Libin(10), Eugenio Bargiacchi(7), Amir R. Nejad(6), Patrick Mannion(5), Conor F. Hayes(4), Enda Howley(4), Fabian Perez-Sanjines(4), Diederik van Binsbergen(4), Roxana Rădulescu(3), Jonathan Keller(3), Yi Guo(3), Shuangwen Sheng(3), Niel Hens(3), Xavier Chesterman(3), Simon Daenens(3)