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At Elewit, in collaboration with the Grid Access Department, innovation projects are being addressed to evaluate generative AI services. Specifically, LLM (Large Language Models) applied in the department's usual processes involving document analysis in the management of various internal processes of access and connection to the network.
Generative AI project applied to the analysis and summarization of documentation
Elewit, in collaboration with Red Eléctrica's Grid Access team, is managing innovation projects to evaluate the impact of generative AI applied to the department's day to day processes involving document analysis.
The ZEPAS project, developed by Elewit and Arteche, is a sustainable alternative that allows quickly powering substation auxiliary services with zero emissions.
ZEPAS product (Zero Emission Portable Auxiliary Source): transforming substation power supply for a sustainable future
ZEPAS offers an easy and versatile solution to ensure the functionality of substations without compromising efficiency or the environment.
The project, developed together with Red Eléctrica and Akselos, has enabled the creation of software to anticipate potential damage in submarine cables is precise enough to apply the technology to two real case studies
Project for submarine cable mechanical modeling: Software to anticipate potential damage in submarine interconnections
This project, developed alongside Red Eléctrica and Akselos, makes it possible to assess the condition of submarine cables and perform simulations prior to laying maneuvers thanks to software created which uses technology patented by the Swiss startup.
The project developed by Red Eléctrica and Argilla, tests the automatic creation of stakeholder profiles from the analysis of communications in text format, taking advantage of Argilla's tool, Biome
Project for stakeholder profiling in Red Eléctrica's transmission grid planning team: data processing with AI customed communication
Based on Elewit's venture client program, Red Eléctrica, together with Argilla, is promoting the automatic creation of stakeholder profiles using artificial intelligence and language processing.
The project, developed by Red Eléctrica and Orbital EOS, demonstrates that the capture of SAR images by satellites makes it possible to detect faults in high-voltage power lines.
Project to identify power line faults using satellite imagery: Exploring incident identification on high-voltage power lines
Through Elewit's venture client program, Red Eléctrica and Orbital EOS are exploring the capabilities of satellite imagery analysis to identify faults on high-voltage power lines and reduce asset restoration times.
El objetivo principal de este proyecto es homogeneizar los modelos y metodologías de previsión de los distintos procesos e investigar mejoras en los diversos modelos predictores y su implementación para adaptarse mejor a los desafíos actuales y futuros del sector energético
Project for the Standardisation of Forecasting Models: towards the energy transition
The Project for the Standardisation of Forecasting Models is intended to improve efficiency in the operation of the electricity system to ensure a more sustainable future, standardising and improving the forecasting models for electricity generation and demand in order to guarantee the security of supply.
The synthetic images project within the framework of DALIA - AI is progressing towards training of artificial intelligence models with synthetic images to improve the efficiency and scalability of the software.
Synthetic images project: revolutionising visual inspections at Red Eléctrica with DALIA - AI
The project's objectives focus on detecting anomalies through training artificial intelligence models with synthetic images
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