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Bibliographische Detailangaben
Hauptverfasser: Rodríguez-Rivero, Jacob, López-García, David, Segovia, Fermín, Ramírez, Javier, Górriz, Juan Manuel, Serrano, Raúl, Pérez, David, Maza, Iván, Ollero, Aníbal, Solà, Pol Paradell, Selga, Albert Gili, Domínguez-García, José Luis, Romero, A., Berro, A., Domínguez, Rocío, Prieto, Inmaculada
Format: Preprint
Veröffentlicht: 2024
Schlagworte:
Other Computer Science
Systems and Control
Online-Zugang:https://arxiv.org/abs/2410.19799
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Inhaltsangabe:
  • The RESISTO project, a pioneer innovation initiative in Europe, endeavors to enhance the resilience of electrical networks against extreme weather events and associated risks. Emphasizing intelligence and flexibility within distribution networks, RESISTO aims to address climatic and physical incidents comprehensively, fostering resilience across planning, response, recovery, and adaptation phases. Leveraging advanced technologies including AI, IoT sensors, and aerial robots, RESISTO integrates prediction, detection, and mitigation strategies to optimize network operation. This article summarizes the main technical aspects of the proposed solutions to meet the aforementioned objectives, including the development of a climate risk detection platform, an IoT-based monitoring and anomaly detection network, and a fleet of intelligent aerial robots. Each contributing to the project's overarching objectives of enhancing network resilience and operational efficiency.

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