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| Main Authors: | , , , , , , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2410.19799 |
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| _version_ | 1866914991918022656 |
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| author | 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 |
| author_facet | 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 |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_19799 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | RESISTO Project: Safeguarding the Power Grid from Meteorological Phenomena 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 Other Computer Science Systems and Control 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. |
| title | RESISTO Project: Safeguarding the Power Grid from Meteorological Phenomena |
| topic | Other Computer Science Systems and Control |
| url | https://arxiv.org/abs/2410.19799 |