Browsing by Author "Schubnel, B."
Now showing items 1-8 of 8
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A Hybrid Learning Method for System Identification and Optimal Control
Schubnel, B.; Carrillo, R.; Alet, P.-J.; Hutter, A. (2020-10) -
A virtual test-bed for building Model Predictive Control developments
Sterling, R.; Febres, J.; Costa, A.; Mohammadi, A.; Carrillo, R. E.; Schubnel, B.; Stauffer, Y.; De Cinque, P.; Keane, M. M. (2019)This paper presents the result of the work performed to develop a virtual test-bed for development and testing of Model Predictive Controllers within the district cooling networks field. These controllers are used for its ... -
Energym: A Building Model Library for Controller Benchmarking
Scharnhorst, P.; Schubnel, B.; Boegli, M.; Gorecki, T.; Stauffer, Y.; Fernández Bandera, C.; Salom, J.; Taddeo, P.; Peppas, A.; Politi, C. (2021-01) -
High-Resolution PV Forecasting from Imperfect Data: A Graph-Based Solution
Carrillo, R. E.; Leblanc, M.; Schubnel, B.; Langou, R.; Topfel, C.; Alet, P. J. (2020-11-03) -
Management and Activation of Energy Flexibility at Building and Market Level: A Residential Case Study
Taddeo, P.; Colet, A.; Carrillo, R. E.; Canals, L. C.; Schubnel, B.; Stauffer, Y.; et al. (2020-01) -
Spatio-temporal graph neural networks for multi-site PV power forecasting
Simeunovic, J.; Schubnel, B.; Alet, P.-J.; Carrillo, R. E. (2021-11) -
Spatio-temporal machine learning methods for multi-site PV power forecasting
Carrillo, R. E.; Schubnel, B.; Simeunovic, J.; Langou, R.; Alet, P.-J. (2021-05) -
State-space models for building control: how deep should you go?
Schubnel, B.; Carrillo, R. E.; Taddeo, P.; Casals, L. C.; Salom, J.; Stauffer, Y.; et al. (2020-11)