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Publikováno v:
Mathematics and computers in simulation
183 (2021): 48–65. doi:10.1016/j.matcom.2020.04.028
info:cnr-pdr/source/autori:Luna M.; Di Piazza M.C.; La Tona G.; Accetta A.; Pucci M./titolo:Exploiting dynamic modeling, parameter identification, and power electronics to implement a non-dissipative Li-ion battery hardware emulator/doi:10.1016%2Fj.matcom.2020.04.028/rivista:Mathematics and computers in simulation (Print)/anno:2021/pagina_da:48/pagina_a:65/intervallo_pagine:48–65/volume:183
183 (2021): 48–65. doi:10.1016/j.matcom.2020.04.028
info:cnr-pdr/source/autori:Luna M.; Di Piazza M.C.; La Tona G.; Accetta A.; Pucci M./titolo:Exploiting dynamic modeling, parameter identification, and power electronics to implement a non-dissipative Li-ion battery hardware emulator/doi:10.1016%2Fj.matcom.2020.04.028/rivista:Mathematics and computers in simulation (Print)/anno:2021/pagina_da:48/pagina_a:65/intervallo_pagine:48–65/volume:183
More and more applications encompass battery energy storage systems (BESSs) based on Li-ion batteries. However, when designing the power converter of a BESS or when studying the interaction between BESSs and other application components, relying on a
Publikováno v:
Mathematics and computers in simulation
184 (2021): 294–305. doi:10.1016/j.matcom.2020.05.010
info:cnr-pdr/source/autori:Di Piazza A.; Di Piazza M.C.; La Tona G.; Luna M./titolo:An artificial neural network-based forecasting model of energy-related time series for electrical grid management/doi:10.1016%2Fj.matcom.2020.05.010/rivista:Mathematics and computers in simulation (Print)/anno:2021/pagina_da:294/pagina_a:305/intervallo_pagine:294–305/volume:184
184 (2021): 294–305. doi:10.1016/j.matcom.2020.05.010
info:cnr-pdr/source/autori:Di Piazza A.; Di Piazza M.C.; La Tona G.; Luna M./titolo:An artificial neural network-based forecasting model of energy-related time series for electrical grid management/doi:10.1016%2Fj.matcom.2020.05.010/rivista:Mathematics and computers in simulation (Print)/anno:2021/pagina_da:294/pagina_a:305/intervallo_pagine:294–305/volume:184
Forecasting of energy-related variables is crucial for accurate planning and management of electrical power grids, aiming at improving overall efficiency and performance. In this paper, an artificial neural network (ANN)-based model is investigated f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e96d567b6ac56489905cff5ee5848e66
http://www.cnr.it/prodotto/i/431334
http://www.cnr.it/prodotto/i/431334
SCOPO DEL LAVORO: I lipochoristomi sono rari tumori benigni (0.1% di tutti i processi espansivi dell’angolo ponto-cerebellare) che in passato si riteneva derivassero dalle cellule della primitiva meninge e pertanto venivano definiti come lipomi del
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3658::0369be1fc57a1e4eeaaf5794810a250a
http://hdl.handle.net/10447/377354
http://hdl.handle.net/10447/377354
SCOPO DEL LAVORO: I lipochoristomi sono rari tumori benigni (0.1% di tutti i processiespansivi dell’angolo ponto-cerebellare) che in passato si riteneva derivassero dalle cellule dellaprimitiva meninge e pertanto venivano definiti come lipomi dell
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4094::446f840e633984751be2661cd530f6d2
http://hdl.handle.net/11585/712755
http://hdl.handle.net/11585/712755
Autor:
G. Collura, M. Marrale, C. Gagliardo, G. Maniaci, T. Piccoli, G. La Tona, C. La Cascia, D. La Barbera, Picone, Francesca, R. Lagalla, C. Cannizzaro
Purpose . Gambling disorder has been recently reclassified under the category ‘‘substance-related and addictive disorders”. Recent studies performed through functional MRI (fMRI) have shown that the perseverance of some behaviors can alter brai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3658::126cff5b0f946ef7ff607881369f4676
http://hdl.handle.net/10447/373674
http://hdl.handle.net/10447/373674
Publikováno v:
Energy and buildings 139 (2017): 1–9. doi:10.1016/j.enbuild.2017.01.003
info:cnr-pdr/source/autori:Di Piazza, M. C.; La Tona, G.; Luna, M.; Di Piazza, A./titolo:A two-stage Energy Management System for smart buildings reducing the impact of demand uncertainty/doi:10.1016%2Fj.enbuild.2017.01.003/rivista:Energy and buildings/anno:2017/pagina_da:1/pagina_a:9/intervallo_pagine:1–9/volume:139
info:cnr-pdr/source/autori:Di Piazza, M. C.; La Tona, G.; Luna, M.; Di Piazza, A./titolo:A two-stage Energy Management System for smart buildings reducing the impact of demand uncertainty/doi:10.1016%2Fj.enbuild.2017.01.003/rivista:Energy and buildings/anno:2017/pagina_da:1/pagina_a:9/intervallo_pagine:1–9/volume:139
This paper proposes a novel two-stage Energy Management System (EMS) that is suitable for small-scale grid-connected electrical systems, such as smart homes and buildings, encompassing renewable generators and electrical storage. In such systems, for
Publikováno v:
IECON
45th Annual Conference of the IEEE Industrial Electronics Society (IES), pp. 4056–4062, Lisbon, Portugal, 14-17 ottobre 2019
info:cnr-pdr/source/autori:G. La Tona (1), M. Luna (2), M.C. Di Piazza (3), A. Pietra (2)/congresso_nome:45th Annual Conference of the IEEE Industrial Electronics Society (IES)/congresso_luogo:Lisbon, Portugal/congresso_data:14-17 ottobre 2019/anno:2019/pagina_da:4056/pagina_a:4062/intervallo_pagine:4056–4062
45th Annual Conference of the IEEE Industrial Electronics Society (IES), pp. 4056–4062, Lisbon, Portugal, 14-17 ottobre 2019
info:cnr-pdr/source/autori:G. La Tona (1), M. Luna (2), M.C. Di Piazza (3), A. Pietra (2)/congresso_nome:45th Annual Conference of the IEEE Industrial Electronics Society (IES)/congresso_luogo:Lisbon, Portugal/congresso_data:14-17 ottobre 2019/anno:2019/pagina_da:4056/pagina_a:4062/intervallo_pagine:4056–4062
This paper proposes the development of a shipboard Energy Management System (EMS), specifically devised to enhance the efficiency of electrical microgrids in cruise vessels. Due to the target application, the reference electrical plant is an Integrat
Publikováno v:
The 13th International Conference of IMACS TC1 Committee (ELECTRIMACS 2019), Salerno, Italy, 20-23 maggio 2019
info:cnr-pdr/source/autori:A. Di Piazza · M. C. Di Piazza · G. La Tona · M. Luna/congresso_nome:The 13th International Conference of IMACS TC1 Committee (ELECTRIMACS 2019)/congresso_luogo:Salerno, Italy/congresso_data:20-23 maggio 2019/anno:2019/pagina_da:/pagina_a:/intervallo_pagine
info:cnr-pdr/source/autori:A. Di Piazza · M. C. Di Piazza · G. La Tona · M. Luna/congresso_nome:The 13th International Conference of IMACS TC1 Committee (ELECTRIMACS 2019)/congresso_luogo:Salerno, Italy/congresso_data:20-23 maggio 2019/anno:2019/pagina_da:/pagina_a:/intervallo_pagine
Forecasting of meteorological variables is crucial for accurate planning and management of electrical power grids, aiming at improving overall efficiency and performance. In this paper, an artificial neural network (ANN)-based technique is investigat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=cnr_________::18c1ca8ae7f7f01dd2eb4ee2de2d5a69
http://www.cnr.it/prodotto/i/411363
http://www.cnr.it/prodotto/i/411363
Publikováno v:
Electrimacs 2019-Salerno, Italy, 21st-23rd May 2019., Salerno, Italy, 21st-23rd May 2019.
info:cnr-pdr/source/autori:M. Luna, M. C. Di Piazza, G. La Tona, A. Accetta, M. Pucci/congresso_nome:Electrimacs 2019-Salerno, Italy, 21st-23rd May 2019./congresso_luogo:Salerno, Italy/congresso_data:21st-23rd May 2019./anno:2019/pagina_da:/pagina_a:/intervallo_pagine
info:cnr-pdr/source/autori:M. Luna, M. C. Di Piazza, G. La Tona, A. Accetta, M. Pucci/congresso_nome:Electrimacs 2019-Salerno, Italy, 21st-23rd May 2019./congresso_luogo:Salerno, Italy/congresso_data:21st-23rd May 2019./anno:2019/pagina_da:/pagina_a:/intervallo_pagine
More and more applications encompass battery energy storage systems (BESSs) based on Li-ion batteries. However, when designing the BESS power converter or when studying the interaction between BESSs and other application components, relying on a real
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=cnr_________::e71e3a2eac7e9a309e35dbadfded16c1
https://publications.cnr.it/doc/411361
https://publications.cnr.it/doc/411361