Identification of worst impact zones for power grids during extreme weather events using Q-learning : preprint / / Shuva Paul and Fei Ding

• Autore: Paul Shuva
• 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