A scalable ensemble approach to forecast the electricity consumption of households Journal Article
In: IEEE Transactions on Smart Grid, 2022.
Electricity Price Forecasting: The Dawn of Machine Learning Journal Article
In: IEEE Power and Energy Magazine, vol. 20, no. 3, pp. 24–31, 2022.
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.
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.
Scenario-based nonlinear model predictive control for building heating systems Journal Article
In: Energy and Buildings, vol. 247, pp. 111108, 2021.
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.
A data driven method for optimal sensor placement in multi-zone buildings Journal Article
In: Energy and Buildings, vol. 243, pp. 110956, 2021.
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.
A market framework for grid balancing support through imbalances trading Journal Article
In: Renewable and Sustainable Energy Reviews, vol. 137, pp. 110467, 2021.
A probabilistic building characterization method for district energy simulations Journal Article
In: Energy and Buildings, vol. 230, pp. 110566, 2021.
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.
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.
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.
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.
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.
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.
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.
A probabilistic approach to allocate building parameters within district energy simulations Conference
Proceedings of the Urban Energy Simulation Conference, 2019.
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.
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.
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.
A generalized model for short-term forecasting of solar irradiance Conference
Proceedings of the 2018 IEEE Conference on Decision and Control, IEEE, 2018.
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.
Forecasting spot electricity prices: Đeep learning approaches and empirical comparison of traditional algorithms Journal Article
In: Applied Energy, vol. 221, pp. 386–405, 2018.
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.