• This will allow us to use technology in a more universal and efficient manner, also improving the times required by specialised technicians.
• This initiative allows the intensification of the roll-out of wideband in rural and remote areas.
• The call, directed at the whole entrepreneurial ecosystem, will be open until September 30^th.

Health indices play a key role within APM (Asset Performance Management) systems. In a nutshell, a health index describes the state or technical condition of an asset by means of a score, and therefore its current performance and degradation. They can even go further, indicating what its state will be in the future.

Data Governance is becoming increasingly widespread in many areas and sectors. However, what does it actually mean? It refers to the management of the availability, integrity, usability and security of a company's or business unit's data, based on a set of internal rules and policies that control its use. Effective data governance can mitigate risks, generate knowledge, and accelerate and improve decision-making in asset management. It also ensures the consistency, quality and reliability of the data.

Asset management is one of the cornerstones of companies’ maintenance processes. It involves two lines of work that are key to maintaining productivity, reducing the risk of failure and, consequently, maximising the availability of resources. On the one hand, a comprehensive infrastructure monitoring of aging assets is required to maximise its effectiveness and efficiency. On the other hand, the integration of new technologies and digital transformation processes is essential to implement new ways of asset management and monitoring.

It is important to understand the role played in SAGA by certain technologies, the advanced solution for asset management in the electricity sector that has been developed by the TSOs REE and ELIA. Understanding how these technologies complement each other is the key to making the most of the potential that this tool offers the industry.

Among the many technologies that SAGA relies on, Artificial Intelligence is essential for supporting its knowledge management:

• They are launching a technological innovation challenge to find innovative solutions to continue to drive the evolution and modernisation of these infrastructures.
• The call is available for the whole ecosystem and will remain open until 19 April.

Red Eléctrica de España, operator and transporter of the electricity system, and Elewit, the Group's technology platform, are jointly launching a technological innovation challenge to find new designs for high-voltage power line towers (also known as pylons).

All projects carried out at Elewit have an ultimate goal: to improve people's daily lives; our future. And we do this through innovation. We currently face various challenges that must be solved through technology. One such challenge addresses the possibilities of integrating new algorithms and functions in automatic substation systems.

• Led by REE, Elewit and Hispasat, the four use cases test the capacity of 5G to optimise the management and remote visual inspection of high-voltage electricity facilities such as substations and electricity lines.
• All the projects are in the incubation phase and are part of a 5G macro-project promoted through a joint venture between 8 leading companies in technological innovation and telecommunications.

The Red Eléctrica Group -through its subsidiary companies Red Eléctrica de España, Elewit and Hispasat- is conducting four pilot projects that analyse the pot

Elewit markets SAGA, a pioneering and unique market solution because, among other factors, it is based on the experience and knowledge generated over decades by the Red Eléctrica Group. It offers an advanced solution for asset management in the electricity sector that is based on several cutting-edge technologies that complement each other to manage and extract the potential of this knowledge.

• They have jointly developed a technological solution that enables them to digitally and automatically identify the type of vegetation growing in 'safety lanes' under high-voltage power lines throughout Spain.
• The designed solution makes use of machine learning potential to automatically and quickly identify a total of 37 vegetation species groups.

Red Eléctrica, Elewit -the Red Eléctrica