Grupo AIA has participated in the ENERGOS project´s closure

Last September 26th, 2013, Gas Natural Fenosa held the ENERGOS´ closure for presenting the results of the project at the company´s headquarters in Madrid.

As part of the Energos project, AIA carried out research in diverse areas and developed several software modules exploring different technologies. The developments were mainly involved in smart network operation and planning.

This network Intelligent Observation Systems implemented through events processing engines to obtain high-level conclusions from low-level information about the network performance.

On the other hand, artificial intelligence techniques have been used for finding the optimal operation at each situation and provide the necessary steps for automatic resetting in case of incidents. It has also developed a micro-network economic management prototype through multi-agent technologies for the interaction between storage devices, generators of renewable and non-renewable energies, demand management, etc.

Other areas of the project: a predictive maintenance tool, a mobility simulator for electric cars and the use of nanocomposites for fault diagnosis in cables.




This project was part of the National Strategic Consortia for Technical Research (CENIT) to boost innovation and technological development in key areas of society.

The consortium formed for the project included the participation of major national companies in the area of smart grids and was led by Gas NaturalFenosa with a relevant role by Indra.

Grupo AIA’s role in the project included the following activities:

  • Development of algorithms for new operations for Smart Grids
  • Generation and geographical forecasting demand
  • Algorithms for smart grid operation planning
  • Socioeconomic Impact Assessment
  • Coordination of distributed intelligent network devices
  • Algorithms for automatic operation of the network
  • Development of unsupervised local intelligent algorithms for network control
  • Developing a probabilistic analysis methods contingency


The project ran from 2010 to 2012.