| 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 | 319 | 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 | 150 | 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 | 82 | 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 | 31 | 2018 |
| 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 Applied Energy 293, 116983, 2021 | 16 | 2021 |
| 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 | 16 | 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 | 15 | 2019 |
| 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 | 13 | 2020 |
| 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 | 10 | 2020 |
| A market framework for grid balancing support through imbalances trading J Lago, K Poplavskaya, G Suryanarayana, B De Schutter Renewable and Sustainable Energy Reviews, 110467, 2020 | 5 | 2020 |
| Periodic Optimal Control and Model Predictive Control of a Tethered Kite for Airborne Wind Energy J Lago University of Freiburg, 2016 | 5* | 2016 |
| 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 | 4 | 2019 |
| Scenario-based nonlinear model predictive control for building heating systems T Pippia, J Lago, R De Coninck, B De Schutter Energy and Buildings 247, 111108, 2021 | 3 | 2021 |
| Neural networks in day-ahead electricity price forecasting: Single vs. multiple outputs G Marcjasz, J Lago, R Weron arXiv preprint arXiv:2008.08006, 2020 | 3 | 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 | 3 | 2019 |
| 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 | 3 | 2018 |
| 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 | 3 | 2018 |
| A probabilistic building characterization method for district energy simulations I De Jaeger, J Lago, D Saelens Energy and Buildings 230, 110566, 2021 | 2 | 2021 |
| 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 | 2 | 2020 |
| Warping NMPC for Online Generation and Tracking of Optimal Trajectories J Lago, M Erhard, M Diehl IFAC-PapersOnLine 50 (1), 13252-13257, 2017 | 2 | 2017 |
Bart De Schutterfull professor. hybrid control and intelligent transportation systems, Delft University ofVerified email at tudelft.nl
