SAGA: Advanced Asset Management Solution

Revolutionise the processes of managing electrical grid assets thanks to this intelligent solution, resulting on more efficient and digitalised asset maintenance and replacement activity planning.

SAGA allows the evolution from the traditional, frequency-based maintenance towards the predictive maintenance, based on the assets’ condition and on the overall risk of the grid.

It is a technological solution developed by Elewit and based on IBM’s artificial intelligence.


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Advanced Asset Management Solution (SAGA)
A secure future for your assets

Don’t wait for your equipment to fail, and extend its working life. The SAGA solution enables you to move towards predictive maintenance, based on the condition of your assets and the overall risk of the network.

Boost your analytical, prescriptive and cognitive business skills by using this technological solution backed by the know-how of two leading TSOs: Red Eléctrica and Elia.

SAGA capacities
1. Manage your assets

SAGA enables asset awareness by calculating and predicting the current and future condition of the assets thanks to advanced data analytics, technical and analytical algorithms combined with AI that calculate assets’ health, risk, impact and probability of failure on a daily basis.

Based on this analysis, the system proposes the necessary maintenance and renewal needs, based on business rules, to ensure the optimal maintenance of each individual asset, including the necessary unavailability associated with it.

2. Plan your business

Create simulations and analyse planning scenarios in order to take better decisions. Create holistic, optimised planning for your maintenance and renewal activities based on the overall risk of the network, monitor its progress and make any adjustments that are needed.

A holistic vision creates efficiency, reduces the annual level of unavailability and the overall risk of the network, optimises the necessary disconnection requests and improves coordination with other business units.

Predictive maintenance based on AI


SAGA applies Artificial Intelligence algorithms to examine the status of the assets in detail, and the impact of any planned maintenance and renovation actions. Our solution is based on IBM’s “Maximo APM for Energy and Utilities”. It offers a wide and diverse range of health and deterioration models thanks to additional development.

1 Health and deterioration models

These expert models use information on the current status of the assets to calculate their health index and a detailed study of the history of anomalies to estimate the deterioration curve and anticipate the likelihood of a fault at any time.

2 Impact and risk models

The status of the assets is supplemented by a series of models that gauge the importance of the installations by applying a full list of technical and economic criteria.

3 Optimised plans for maintenance and renovation

SAGA has a module to optimise maintenance plans, customising the work that each specific asset in the network is subject to, minimising the costs and resources associated with this task.
With the know-how of two leading TSOs

AAMS was created in 2017 as an internal innovation project for digital transformation at Red Eléctrica. These developments enabled the company’s strategies to include maintenance based on the overall risk of the network. Today, Red Eléctrica and Elia – two leading TSOs in asset management - have combined their expertise and know-how to join together and participate in the future growth and development of AAMS.

An alliance between two leaders

Elewit and IBM work together in promoting AAMS. A unique alliance of two leaders in the energy and IT sectors to help companies in the industry to solve the most demanding challenges in their business.

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