Publications

2022

25.

Botman, Lola; Soenen, Jonas; Theodorakos, Konstantinos; Yurtman, Aras; Bekker, Jessa; Vanthournout, Koen; Blockeel, Hendrik; Moor, Bart De; Lago, Jesus

A scalable ensemble approach to forecast the electricity consumption of households Journal Article

In: IEEE Transactions on Smart Grid, 2022.

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24.

Jędrzejewski, Arkadiusz; Lago, Jesus; Marcjasz, Grzegorz; Weron, Rafał

Electricity Price Forecasting: The Dawn of Machine Learning Journal Article

In: IEEE Power and Energy Magazine, vol. 20, no. 3, pp. 24–31, 2022.

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23.

Soares, Ana; Camargo, Juliano; Al-Koussa, Jad; Diriken, Jan; Bael, Johan Van; Lago, Jesus

Efficient temperature estimation for thermally stratified storage tanks with buoyancy and mixing effects Journal Article

In: Journal of Energy Storage, vol. 50, pp. 104488, 2022.

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2021

22.

Poplavskaya, Ksenia; Lago, Jesus; Strömer, Stefan; Vries, Laurens

Making the most of short-term flexibility in the balancing market: Opportunities and challenges of voluntary bids in the new balancing market design Journal Article

In: Energy Policy, vol. 158, pp. 112522, 2021.

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21.

Pippia, Tomas; Lago, Jesus; Coninck, Roel De; Schutter, Bart De

Scenario-based nonlinear model predictive control for building heating systems Journal Article

In: Energy and Buildings, vol. 247, pp. 111108, 2021.

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20.

Heijden, Ties Van Der; Lago, Jesus; Palensky, Peter; Abraham, Edo

Electricity price forecasting in European Day Ahead Markets: a greedy consideration of market integration Journal Article

In: IEEE Access, vol. 9, pp. 119954–119966, 2021.

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19.

Suryanarayana, Gowri; Arroyo, Javier; Helsen, Lieve; Lago, Jesus

A data driven method for optimal sensor placement in multi-zone buildings Journal Article

In: Energy and Buildings, vol. 243, pp. 110956, 2021.

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18.

Lago, Jesus; Marcjasz, Grzegorz; Schutter, Bart De; Weron, Rafał

Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark Journal Article

In: Applied Energy, vol. 293, pp. 116983, 2021.

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17.

Lago, Jesus; Poplavskaya, Ksenia; Suryanarayana, Gowri; Schutter, Bart De

A market framework for grid balancing support through imbalances trading Journal Article

In: Renewable and Sustainable Energy Reviews, vol. 137, pp. 110467, 2021.

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16.

Jaeger, Ina De; Lago, Jesus; Saelens., Dirk

A probabilistic building characterization method for district energy simulations Journal Article

In: Energy and Buildings, vol. 230, pp. 110566, 2021.

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2020

15.

Sapountzoglou, Nikolaos; Lago, Jesus; Schutter, Bart De; Raison, Bertrand

A generalizable and sensor-independent deep learning method for fault detection and location in low-voltage distribution grids Journal Article

In: Applied Energy, vol. 276, pp. 115299, 2020.

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14.

Lago, Jesus

Incentivizing renewables and reducing grid imbalances through market interaction: A forecasting and control approach PhD Thesis

Delft University of Technology, 2020, ISBN: 978-94-6402-444-9.

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13.

Lago, Jesus; Suryanarayana, Gowri; Sogancioglu, Ecem; Schutter, Bart De

Optimal Control Strategies for Seasonal Thermal Energy Storage Systems with Market Interaction Journal Article

In: IEEE Transactions on Control Systems Technology, pp. Early Access, 2020.

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12.

Poplavskaya, Ksenia; Lago, Jesus; Vries, Laurens De

Effect of market design on strategic bidding behavior: Model-based analysis of European electricity balancing markets Journal Article

In: Applied Energy, vol. 270, pp. 115130, 2020.

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11.

Sapountzoglou, Nikolaos; Lago, Jesus; Raison, Bertrand

Fault diagnosis in low voltage smart distribution grids using gradient boosting trees Journal Article

In: Electric Power Systems Research, vol. 182, 2020, ISSN: 0378-7796.

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2019

10.

Lago, Jesus; Ridder, Fjo De; Mazairac, Wiet; Schutter, Bart De

A 1-dimensional continuous and smooth model for thermally stratified storage tanks including mixing and buoyancy Journal Article

In: Applied Energy, vol. 248, pp. 640–655, 2019.

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9.

Lago, Jesus; Sogancioglu, Ecem; Suryanarayana, Gowri; Ridder, Fjo De; Schutter, Bart De

Building day-ahead bidding functions for seasonal storage systems: A reinforcement learning approach Conference

Proceedings of the IFAC Workshop on Control of Smart Grid and Renewable Energy Systems, 2019.

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8.

Jaeger, Ina De; Lago, Jesus; Saelens., Dirk

A probabilistic approach to allocate building parameters within district energy simulations Conference

Proceedings of the Urban Energy Simulation Conference, 2019.

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7.

Pippia, Tomas; Lago, Jesus; Coninck, Roel De; Sijs, Joris; Schutter, Bart De

Scenario-based Model Predictive Control Approach for Heating Systems in an Office Building Conference

Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, IEEE, 2019.

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2018

6.

Lago, Jesus; Ridder, Fjo De; Vrancx, Peter; Schutter, Bart De

Forecasting day-ahead electricity prices in Europe: Ŧhe importance of considering market integration Journal Article

In: Applied Energy, vol. 211, pp. 890–903, 2018, ISSN: 0306-2619.

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5.

Lago, Jesus; Brabandere, Karel De; Ridder, Fjo De; Schutter, Bart De

Short-term forecasting of solar irradiance without local telemetry: A generalized model using satellite data Journal Article

In: Solar Energy, vol. 173, pp. 566–577, 2018.

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4.

Lago, Jesus; Brabandere, Karel De; Ridder, Fjo De; Schutter, Bart De

A generalized model for short-term forecasting of solar irradiance Conference

Proceedings of the 2018 IEEE Conference on Decision and Control, IEEE, 2018.

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3.

Lago, Jesus; Erhard, Michael; Diehl, Moritz

Warping model predictive control for application in control of a real airborne wind energy system Journal Article

In: Control Engineering Practice, vol. 78, pp. 65 - 78, 2018, ISSN: 0967-0661.

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2.

Lago, Jesus; Ridder, Fjo De; Schutter, Bart De

Forecasting spot electricity prices: Đeep learning approaches and empirical comparison of traditional algorithms Journal Article

In: Applied Energy, vol. 221, pp. 386–405, 2018.

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1.

Suryanarayana, Gowri; Lago, Jesus; Geysen, Davy; Aleksiejuk, Piotr; Johansson, Christian

Thermal load forecasting in district heating networks using deep learning and advanced feature selection methods Journal Article

In: Energy, vol. 157, pp. 141–149, 2018.

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