| 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 | 460 | 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 | 191 | 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 | 121 | 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 | 112 | 2021 |
| 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 | 50 | 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 | 44 | 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 | 40 | 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 | 29 | 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 | 27 | 2019 |
| A probabilistic building characterization method for district energy simulations I De Jaeger, J Lago, D Saelens Energy and Buildings 230, 110566, 2021 | 18 | 2021 |
| 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 | 15 | 2021 |
| Making the most of short-term flexibility in the balancing market: Opportunities and challenges of voluntary bids in the new balancing market design K Poplavskaya, J Lago, S Strömer, L de Vries Energy Policy 158, 112522, 2021 | 13 | 2021 |
| Electricity price forecasting in European Day Ahead Markets: a greedy consideration of market integration T Van Der Heijden, J Lago, P Palensky, E Abraham IEEE Access 9, 119954-119966, 2021 | 10 | 2021 |
| Electricity Price Forecasting: The Dawn of Machine Learning A Jędrzejewski, J Lago, G Marcjasz, R Weron IEEE Power and Energy Magazine 20 (3), 24-31, 2022 | 9 | 2022 |
| A market framework for grid balancing support through imbalances trading J Lago, K Poplavskaya, G Suryanarayana, B De Schutter Renewable and Sustainable Energy Reviews 137, 110467, 2021 | 9 | 2021 |
| A data driven method for optimal sensor placement in multi-zone buildings G Suryanarayana, J Arroyo, L Helsen, J Lago Energy and Buildings 243, 110956, 2021 | 8 | 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 29 (5), 1891-1906, 2020 | 8 | 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 | 8 | 2020 |
| 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 | 8 | 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 | 7 | 2018 |
Bart De Schutterfull professor. hybrid control and intelligent transportation systems, Delft University ofVerified email at tudelft.nl
