RESISTO Project: Safeguarding the Power Grid from Meteorological Phenomena

Author:

Rodríguez-Rivero Jacob,López-García David,Segovia Fermín,Ramírez Javier,Górriz Juan Manuel,Serrano R.,Pérez D.,Maza Ivan,Ollero Anibal,Solà Pol Paradell,Selga Albert Gili,Domínguez-García Jose Luis,Romero A.,Berro A.,Domínguez Rocío,Prieto Inmaculada

Publisher

Springer Nature Switzerland

Reference43 articles.

1. Intergovernmental Panel on Climate Change (IPCC): Climate Change 2021 – The Physical Science Basis: Working Group I Contribution to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge (2021)

2. GeoSolutions: MapStore 2 documentation (2023). Accessed 28 Feb 2024

3. GeoServer: Geoserver (2024). Accessed 28 Feb 2024

4. Stefanidou-Voziki, P., Cardoner-Valbuena, D., Villafafila-Robles, R., Dominguez-Garcia, J.L.: Data analysis and management for optimal application of an advanced ml-based fault location algorithm for low voltage grids. Int. J. Electr. Power Energy Syst. 142, 108303 (2022)

5. Paradell, P., et al.: Increasing resilience of power systems using intentional islanding; a comparison of binary genetic algorithm and deep learning based method. In: 2021 IEEE International Conference on Cyber Security and Resilience (CSR), pp. 491–496 (2021)

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