Identification of worst impact zones for power grids during extreme weather events using Q-learning : preprint / / Shuva Paul and Fei Ding
(Visualizza in formato marc)
(Visualizza in BIBFRAME)
| Autore: |
Paul Shuva
|
| Titolo: |
Identification of worst impact zones for power grids during extreme weather events using Q-learning : preprint / / Shuva Paul and Fei Ding
|
| Pubblicazione: | Golden, CO : , : National Renewable Energy Laboratory, , 2020 |
| Descrizione fisica: | 1 online resource (5 pages) : illustrations (some color) |
| Soggetto topico: | Electric power distribution - United States - Computer simulation |
| Emergency management - United States | |
| Natural disasters - United States | |
| Infrastructure (Economics) - United States | |
| Electric power failures - United States - Computer simulation | |
| Reinforcement learning - United States | |
| Persona (resp. second.): | DingFei |
| Note generali: | "February 2020." |
| "Presented at the 2020 IEEE Conference on Innovative Smart Grid Technologies (IEEE ISGT), Washington, D.C., February 17-20 2020"--Page 1 of cover. | |
| Nota di bibliografia: | Includes bibliographical references (page 5). |
| Altri titoli varianti: | Identification of worst impact zones for power grids during extreme weather events using Q-learning |
| Titolo autorizzato: | Identification of worst impact zones for power grids during extreme weather events using Q-learning |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910713886703321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |