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.