Jesus Lago
Jesus Lago
Researcher, VITO & Energyville
Vahvistettu sähköpostiosoite verkkotunnuksessa - Kotisivu
Forecasting spot electricity prices: Deep learning approaches and empirical comparison of traditional algorithms
J Lago, F De Ridder, B De Schutter
Applied Energy 221, 386–405, 2018
Forecasting day-ahead electricity prices in Europe: the importance of considering market integration
J Lago, F De Ridder, P Vrancx, B De Schutter
Applied Energy 211, 890–903, 2018
Thermal load forecasting in district heating networks using deep learning and advanced feature selection methods
G Suryanarayana, J Lago, D Geysen, P Aleksiejuk, C Johansson
Energy 157, 141-149, 2018
Short-term forecasting of solar irradiance without local telemetry: A generalized model using satellite data
J Lago, K De Brabandere, F De Ridder, B De Schutter
Solar Energy 173, 566-577, 2018
Fault diagnosis in low voltage smart distribution grids using gradient boosting trees
N Sapountzoglou, J Lago, B Raison
Electric Power Systems Research 182, 106254, 2020
A 1-dimensional continuous and smooth model for thermally stratified storage tanks including mixing and buoyancy
J Lago, F De Ridder, W Mazairac, B De Schutter
Applied Energy 248, 640-655, 2019
Building day-ahead bidding functions for seasonal storage systems: A reinforcement learning approach
J Lago, E Sogancioglu, G Suryanarayana, F De Ridder, B De Schutter
IFAC-PapersOnLine 52 (4), 488-493, 2019
Periodic Optimal Control and Model Predictive Control of a Tethered Kite for Airborne Wind Energy
J Lago
University of Freiburg, 2016
Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark
J Lago, G Marcjasz, B De Schutter, R Weron
arXiv preprint arXiv:2008.08004, 2020
Effect of market design on strategic bidding behavior: Model-based analysis of European electricity balancing markets
K Poplavskaya, J Lago, L de Vries
Applied Energy 270, 115130, 2020
Scenario-based Model Predictive Control Approach for Heating Systems in an Office Building
T Pippia, J Lago, R De Coninck, J Sijs, B De Schutter
2019 IEEE 15th International Conference on Automation Science and …, 2019
A probabilistic approach to allocate building parameters within district energy simulations
I De Jaeger, J Lago, D Saelens
Proceedings of the Urban Energy Simulation Conference 2018, 2018
Optimal control strategies for seasonal thermal energy storage systems with market interaction
J Lago, G Suryanarayana, E Sogancioglu, B De Schutter
IEEE Transactions on Control Systems Technology, 2020
Neural networks in day-ahead electricity price forecasting: Single vs. multiple outputs
G Marcjasz, J Lago, R Weron
arXiv preprint arXiv:2008.08006, 2020
Warping model predictive control for application in control of a real airborne wind energy system
J Lago, M Erhard, M Diehl
Control Engineering Practice 78, 65-78, 2018
Warping NMPC for Online Generation and Tracking of Optimal Trajectories
J Lago, M Erhard, M Diehl
IFAC-PapersOnLine 50 (1), 13252-13257, 2017
A quadratically convergent primal decomposition algorithm with soft coupling for nonlinear parameter estimation
D Kouzoupis, R Quirynen, JL Garcia, M Erhard, M Diehl
2016 IEEE 55th Conference on Decision and Control (CDC), 1086-1092, 2016
A probabilistic building characterization method for district energy simulations
I De Jaeger, J Lago, D Saelens
Energy and Buildings 230, 110566, 2021
A generalizable and sensor-independent deep learning method for fault detection and location in low-voltage distribution grids
N Sapountzoglou, J Lago, B De Schutter, B Raison
Applied Energy 276, 115299, 2020
Scenario-based Nonlinear Model Predictive Control for Building Heating Systems
T Pippia, J Lago, R De Coninck, B De Schutter
arXiv preprint arXiv:2012.02011, 2020
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Artikkelit 1–20