Archivio Istituzionale della RicercaPINTO, GIUSEPPE
Mostra
records
Risultati 1 - 4 di 4 (tempo di esecuzione: 0.008 secondi).
A framework for the design of representative neighborhoods for energy flexibility assessment in CityLearn
2023 Nweye, Kingsley; Kaspar, Kathryn; Buscemi, Giacomo; Pinto, Giuseppe; Li, Han; Hong, Tianzhen; Ouf, Mohamed; Capozzoli, Alfonso; Nagy, Zoltan
CityLearn v2: An OpenAI Gym environment for demand response control benchmarking in grid-interactive communities
2023 Nweye, Kingsley; Kaspar, Kathryn; Buscemi, Giacomo; Pinto, Giuseppe; Li, Han; Hong, Tianzhen; Ouf, Mohamed; Capozzoli, Alfonso; Nagy, Zoltan
Building thermal dynamics modeling with deep learning exploiting large residential smart thermostat dataset
2022 Li, H.; Pinto, G.; Capozzoli, A.; Hong, T.
The impact of stakeholder preferences in multicriteria evaluation for the retrofitting of office buildings in Italy
2020 Pinto, G.; Capozzoli, A.; Piscitelli, M. S.; Savoldi, L.
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| A framework for the design of representative neighborhoods for energy flexibility assessment in CityLearn / Nweye, Kingsley; Kaspar, Kathryn; Buscemi, Giacomo; Pinto, Giuseppe; Li, Han; Hong, Tianzhen; Ouf, Mohamed; Capozzoli, Alfonso; Nagy, Zoltan. - In: BUILDING SIMULATION CONFERENCE PROCEEDINGS. - ISSN 2522-2708. - ELETTRONICO. - 18:(2023), pp. 1814-1821. (Intervento presentato al convegno 18th Conference of International Building Performance Simulation Association tenutosi a Shangai (China) nel 4-6 September) [10.26868/25222708.2023.1404]. | 1-gen-2023 | Buscemi, GiacomoPinto, GiuseppeCapozzoli, Alfonso + | - |
| CityLearn v2: An OpenAI Gym environment for demand response control benchmarking in grid-interactive communities / Nweye, Kingsley; Kaspar, Kathryn; Buscemi, Giacomo; Pinto, Giuseppe; Li, Han; Hong, Tianzhen; Ouf, Mohamed; Capozzoli, Alfonso; Nagy, Zoltan. - ELETTRONICO. - (2023), pp. 274-275. (Intervento presentato al convegno 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, BuildSys 2023 tenutosi a Istanbul (TUR) nel 2023) [10.1145/3600100.3626257]. | 1-gen-2023 | Buscemi, GiacomoPinto, GiuseppeCapozzoli, Alfonso + | - |
| Building thermal dynamics modeling with deep learning exploiting large residential smart thermostat dataset / Li, H.; Pinto, G.; Capozzoli, A.; Hong, T.. - ELETTRONICO. - (2022), pp. 242-245. (Intervento presentato al convegno BuildSys '22: The 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation tenutosi a Boston (USA) nel 9 - 10 Novembre, 2022) [10.1145/3563357.3564056]. | 1-gen-2022 | Pinto G.Capozzoli A. + | 3563357.3564056.pdf |
| The impact of stakeholder preferences in multicriteria evaluation for the retrofitting of office buildings in Italy / Pinto, G.; Capozzoli, A.; Piscitelli, M. S.; Savoldi, L.. - STAMPA. - 163:(2020), pp. 581-591. (Intervento presentato al convegno 11th International Conference on Sustainability and Energy in Buildings, SEB 2019 tenutosi a Budapest (HUN) nel 4th -5th July 2019) [10.1007/978-981-32-9868-2_49]. | 1-gen-2020 | Pinto G.Capozzoli A.Piscitelli M. S.Savoldi L. | The impact of stakeholder preferences in multicriteria evaluation for the retrofitting of office buildings in Italy.pdf |