Jérémie Bottieau

Improved day-ahead predictions of load and renewable generation by optimally exploiting multi-scale dependencies

Jean-François Toubeau, Jérémie Bottieau, François Vallée, 2017, 2017 IEEE Innovative Smart Grid Technologies - Asia (ISGT-Asia).

Deep Learning-Based Multivariate Probabilistic Forecasting for Short-Term Scheduling in Power Markets

Jean-François Toubeau, Jérémie Bottieau, François Vallée, 2019, IEEE Transactions on Power Systems.

Very-Short-Term Probabilistic Forecasting for a Risk-Aware Participation in the Single Price Imbalance Settlement

Jean-François Toubeau, Jérémie Bottieau, François Vallée, 2020, IEEE Transactions on Power Systems.

Leveraging provision of frequency regulation services from wind generation by improving day-ahead predictions using LSTM neural networks

Jean-François Toubeau, Jérémie Bottieau, François Vallée, 2018, 2018 IEEE International Energy Conference (ENERGYCON).

Recalibration of recurrent neural networks for short-term wind power forecasting

Jean-François Toubeau, Jérémie Bottieau, François Vallée, 2021 .

Data-Driven Scheduling of Energy Storage in Day-Ahead Energy and Reserve Markets With Probabilistic Guarantees on Real-Time Delivery

Kenneth Bruninx, Jean-François Toubeau, Jérémie Bottieau, 2021, IEEE Transactions on Power Systems.

Capturing Spatio-Temporal Dependencies in the Probabilistic Forecasting of Distribution Locational Marginal Prices

Yi Wang, Dimitra Apostolopoulou, Thomas Morstyn, 2021, IEEE Transactions on Smart Grid.