N. Kayedpour

A Data-Driven Approach Using Deep Learning Time Series Prediction for Forecasting Power System Variables

Lieven Vandevelde, Guillaume Crevecoeur, Jeroen D. M. De Kooning, 2019, 2019 IEEE 2nd International Conference on Renewable Energy and Power Engineering (REPE).

Wind and Solar Intermittency and the Associated Integration Challenges: A Comprehensive Review Including the Status in the Belgian Power System

Arash E. Samani, G. Crevecoeur, L. Vandevelde, 2021, Energies.

Model Predictive Control With a Cascaded Hammerstein Neural Network of a Wind Turbine Providing Frequency Containment Reserve

Lieven Vandevelde, Guillaume Crevecoeur, Arash E. Samani, 2021, IEEE Transactions on Energy Conversion.

IMPACT OF FAST WIND FLUCTUATIONS ON THE PROFIT OF A WIND POWER PRODUCER JOINTLY TRADING IN ENERGY AND RESERVE MARKETS

G. Crevecoeur, J. Toubeau, Z. De Grève, 2021, The 9th Renewable Power Generation Conference (RPG Dublin Online 2021).

Thermal Performance Evaluation of an Induced Draft Evaporative Cooling System through Adaptive Neuro-Fuzzy Interference System (ANFIS) Model and Mathematical Model

Lieven Vandevelde, Greet Van Eetvelde, Jens Baetens, 2019, Energies.

An adaptive operational strategy for enhanced provision of frequency containment reserve by Wind Turbines: Data-driven based power reserve adjustment

Arash E. Samani, G. Crevecoeur, L. Vandevelde, 2023, Electric Power Systems Research.