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Dipartimento Energia
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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
| 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 + | - |