Zobrazeno 1 - 10
of 178
pro vyhledávání: '"Marco C. Campi"'
Autor:
Simone Garatti, Marco C. Campi
Publikováno v:
SIAM Journal on Optimization. 33:455-480
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9007bf808b3593f6d726b253e9a5ddb4
https://doi.org/10.1137/21m1451385
https://doi.org/10.1137/21m1451385
Autor:
Marco C. Campi
Publikováno v:
Synthese. 201
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0adfdf9ba902e9228891d336e298ee8c
https://doi.org/10.1007/s11229-023-04172-9
https://doi.org/10.1007/s11229-023-04172-9
Autor:
Wpmh Maurice Heemels, Marco C. Campi, A.T.J.R. Cobbenhagen, Federico Ramponi, Duarte Antunes, Algo Carè
Publikováno v:
IEEE Control Systems Letters, 5(5):9272617, 1513-1518. Institute of Electrical and Electronics Engineers
Majority voting is often employed as a tool to increase the robustness of data-driven decisions and control policies, a fact which calls for rigorous, quantitative evaluations of the limits and the potentials of majority voting schemes. This letter f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e13b6b0c61868bc936a7a548d13a97a1
https://doi.org/10.1109/LCSYS.2020.3040961
https://doi.org/10.1109/LCSYS.2020.3040961
Autor:
Simone Garatti, Marco C. Campi
Publikováno v:
IFAC-PapersOnLine. 54:607-612
In previous contributions, it has been shown that the “complexity” is a key indicator to quantify the “risk” associated to data-driven scenario-based solutions. Depending on the context of application, risk is interpreted as probability of mi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26da4dd694df89ebb994ef682f7b50e5
https://doi.org/10.1016/j.ifacol.2021.08.427
https://doi.org/10.1016/j.ifacol.2021.08.427
Publikováno v:
Annual Reviews in Control. 52:1-17
In the eyes of many control scientists, the theory of the scenario approach is a tool for determining the sample size in certain randomized control-design methods, where an uncertain variable is replaced by a random sample of scenarios. This point of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::452faef23c420e37381b5d851e89e4c0
https://doi.org/10.1016/j.arcontrol.2021.10.004
https://doi.org/10.1016/j.arcontrol.2021.10.004
Autor:
Marco C. Campi, Simone Garatti
Scenario optimization is a broad methodology to perform optimization based on empirical knowledge. One collects previous cases, called “scenarios”, for the set-up in which optimization is being performed, and makes a decision that is optimal for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::97dff05a9220a745c22d813f43a975aa
http://hdl.handle.net/11311/1121164
http://hdl.handle.net/11311/1121164
Publikováno v:
IEEE Transactions on Smart Grid. 10:1858-1868
This paper introduces a new computational framework to account for uncertainties in day-ahead electricity market clearing process in the presence of demand response providers. A central challenge when dealing with many demand response providers is th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8191a4daeb2e5a556d770670ca940c5e
https://doi.org/10.1109/tsg.2017.2778688
https://doi.org/10.1109/tsg.2017.2778688
Publikováno v:
Computational Management Science. 16:481-499
The scenario optimisation approach is a methodology for finding solutions to uncertain convex problems by resorting to a sample of data, which are called “scenarios”. In a min–max set-up, the solution delivered by the scenario approach comes wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0cc843a26404781e4c3be168c7797624
https://doi.org/10.1007/s10287-019-00345-5
https://doi.org/10.1007/s10287-019-00345-5