Jesus was born in Spain, in 1989. He received his diploma degree in Industrial Engineering with a major in Automatic Control in 2013, from the University of Vigo. In 2016, he graduated from a Master of Science in Microsystems Engineering with a major in Optimal Control and Numerical Optimization, at the University of Freiburg. In parallel with his studies, he worked in the Highwind ERC project developing a Model Predictive Controller for a real Airborne Wind Energy System. Currently he is pursuing his PhD at VITO in collaboration with TU Delft, as a member of the INCITE network. His research interests are the control of energy markets, optimal control, machine learning and optimization algorithms.
Advisor: Fjo De Ridder, Gowri Suryanarayana
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 (2018) 890-903
Forecasting spot electricity prices: Deep learning approaches and empirical comparison of traditional algorithms, J. Lago, F. De Ridder, B. De Schutter, Applied Energy 221 (2018) 386-405
Thermal load forecasting in district heating networks using deep learning and advanced feature selection methods, G. Suyanarayana, J. Lago, D. Geysen, P. Aleksiejuk, C. Johansson, Energy 157 (2018) 141-149
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 (2018) 65–78
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 (2018) 566-577
A generalized model for short-term forecasting of solar irradiance, J. Lago, K. De Brabandere, F. De Ridder and B. De Schutter, 2018 IEEE Conference on Decision and Control (CDC), FL, USA, 2018, pp. 3165-3170.
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 (2019) 640-655
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 Engineering (CASE)