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Loris Di Natale
19
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1
Physically Consistent Neural ODEs for Learning Multi-Physic..:
Muhammad Zakwan
;
Loris Di Natale
;
Bratislav Svetozarevic
...
info:eu-repo/grantAgreement/SNSF/Programmes - National Centres of Competence in Research (NCCRs)/51NF40_180545/. , 2023
Link:
https://zenodo.org/recor..
?
2
The Potential of Vehicle-to-Grid to Support the Energy Tran..:
Loris Di Natale
;
Luca Funk
;
Martin Rüdisüli
...
https://www.mdpi.com/1996-1073/14/16/4812. , 2021
Link:
https://doi.org/10.3390/..
?
3
The Potential of Vehicle-to-Grid to Support the Energy Tran..:
Loris Di Natale
;
Luca Funk
;
Martin Rüdisüli
...
https://dx.doi.org/10.3390/en14164812. , 2021
Link:
https://doi.org/10.3390/..
?
4
Stable Linear Subspace Identification: A Machine Learning A..:
Di Natale, Loris
;
Zakwan, Muhammad
;
Svetozarevic, Bratislav
...
http://arxiv.org/abs/2311.03197. , 2023
Link:
http://arxiv.org/abs/231..
?
5
SIMBa: System Identification Methods leveraging Backpropaga..:
Di Natale, Loris
;
Zakwan, Muhammad
;
Heer, Philipp
..
http://arxiv.org/abs/2311.13889. , 2023
Link:
http://arxiv.org/abs/231..
?
6
Data-driven adaptive building thermal controller tuning wit..:
Xu, Wenjie
;
Svetozarevic, Bratislav
;
Di Natale, Loris
..
http://arxiv.org/abs/2310.00758. , 2023
Link:
http://arxiv.org/abs/231..
?
7
Lessons Learned from Data-Driven Building Control Experimen..:
Di Natale, Loris
;
Lian, Yingzhao
;
Maddalena, Emilio T
..
http://arxiv.org/abs/2205.15703. , 2022
Link:
http://arxiv.org/abs/220..
?
8
Towards Scalable Physically Consistent Neural Networks: an ..:
Di Natale, Loris
;
Svetozarevic, Bratislav
;
Heer, Philipp
.
http://arxiv.org/abs/2212.12380. , 2022
Link:
http://arxiv.org/abs/221..
?
9
Physically Consistent Neural Networks for building thermal ..:
Di Natale, Loris
;
id_orcid:0 000-0002-3295-412X
http://hdl.handle.net/20.500.11850/531880. , 2022
Link:
https://hdl.handle.net/2..
?
10
Near-optimal Deep Reinforcement Learning Policies from Data..:
Di Natale, Loris
;
Svetozarevic, Bratislav
;
Heer, Philipp
.
http://arxiv.org/abs/2203.05434. , 2022
Link:
http://arxiv.org/abs/220..
?
11
Computationally Efficient Reinforcement Learning: Targeted ..:
Di Natale, Loris
;
Svetozarevic, Bratislav
;
Heer, Philipp
.
http://arxiv.org/abs/2211.16691. , 2022
Link:
http://arxiv.org/abs/221..
?
12
Physically Consistent Neural ODEs for Learning Multi-Physic..:
Zakwan, Muhammad
;
Di Natale, Loris
;
Svetozarevic, Bratislav
...
http://arxiv.org/abs/2211.06130. , 2022
Link:
http://arxiv.org/abs/221..
?
13
Data on the Swiss energy system and electric vehicles:
Di Natale, Loris
;
Funk, Luca
;
Rüdisüli, Martin
...
info:eu-repo/grantAgreement/SNSF/Programmes - National Centres of Competence in Research (NCCRs)/51NF40_180545/. , 2021
Link:
https://zenodo.org/recor..
?
14
Deep Reinforcement Learning for room temperature control: a..:
Di Natale, Loris
;
id_orcid:0 000-0002-3295-412X
http://hdl.handle.net/20.500.11850/531878. , 2021
Link:
https://hdl.handle.net/2..
?
15
The potential of vehicle-to-grid to support the energy tran..:
Di Natale, Loris
;
id_orcid:0 000-0002-3295-412X
;
Funk, Luca
...
info:eu-repo/semantics/altIdentifier/doi/10.3390/en14164812. , 2021
Link:
https://hdl.handle.net/2..
1-15