Browsing by Author "Carrillo, R. E."
Now showing items 1-10 of 10
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A real-time optimal inverse planning for Gamma Knife radiosurgery by convex optimization: description of the system and first dosimetry data
Levivier, M.; Carrillo, R. E.; Charrier, R.; Martin, A.; Thiran, J. P. (2018)OBJECTIVE The authors developed a new, real-time interactive inverse planning approach, based on a fully convex framework, to be used for Gamma Knife radiosurgery. METHODS The convex framework is based on the precomputation ... -
Correlation Sketching for Ordered Data
Hoyos, J. P.; Carrillo, R. E.; Pazos, S.; Jojoa, P. (2017)Methods based on order statistics are often used in finance, quality control, data and signal processing, especially when signals of interest are immersed in impulsive noise. These allow to include rank information by ... -
DRT-based modelling framework for Li-ion cells
Iurilli, P.; Brivio, C.; Carrillo, R. E.; Wood, V. (2021-10) -
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) -
How Building and District Algorithms Enhance Renewable Energy Integration in Energy Markets
Casals, L. C.; Corchero, C.; Ortiz, J.; Salom, J.; Cardoner, D.; Igualada, L.; Carrillo, R. E.; Stauffer, Y. (2019)This study shows the results of the SABINA H2020 project, which analyzes the effect of two level optimization algorithms to increase the consumption of renewable power sources and reduce greenhouse gas emissions. First, ... -
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) -
Smart sensors network for accurate indirect heat accounting in apartment buildings
Stauffer, Y.; Hutter, A.; Carrillo, R. E.; Saba, F.; Boegli, M.; Malengo, A. (2021-10) -
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)