A computational approach for real-time stochastic recovery of electric power networks during a disaster
Alireza Inanlouganji, Giulia Pedrielli, T. Agami Reddy, Fernando Tormos Aponte
| Year of publication: |
2022
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|---|---|
| Authors: | Inanlouganji, Alireza ; Pedrielli, Giulia ; Reddy, T. Agami ; Tormos Aponte, Fernando |
| Published in: |
Transportation research / E : an international journal. - Amsterdam : Elsevier, ISSN 1366-5545, ZDB-ID 1380969-6. - Vol. 163.2022, p. 1-15
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| Subject: | Disaster response | Power restoration | Real-time decision making | Reinforcement learning | Katastrophe | Disaster | Humanitäre Hilfe | Humanitarian aid | Elektrizitätswirtschaft | Electric power industry | Entscheidung | Decision |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.tre.2022.102752 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013276042