Minsait, a subsidiary of Indra, has reported on vseveral projects that are in the development phase and use artificial intelligence (AI) systems to help energy companies avoid incidents by detecting possible risks before they occur.
In a statement, the firm explains that both the innovation projects in general, as those based on artificial intelligence in particular are one of the current priorities ofThe ‘utilities’ sectorassociated with public services with high quality standards.
“By monitoring operations, AI allows energy companies to control one of the most sensitive aspects: asset management“The company has detailed in the text. As examples of formulas to avoid these possible dangers, it lists “know if there are sparks in a transformation center or if the temperature rises of certain components. Also to monitor the perimeter security of the facilities.”
Added to this is the possibility of using artificial vision to check which protected bird species cross a wind farm with the aim of reducing its accident rate or how much dust has accumulated on the solar panels and how it affects their performance.
“The needs to predict demand, plan production or forecast price behavior of energy explain the opportunity to develop projects based on AI in the ‘utilities’, which make up one of the most mature sectors at a predictive level. And the predictive capacity is, precisely, one of the strengths of artificial intelligence,” added Minsait.
In this context, the company has highlighted that the electrification of society will require predictive capacity “increasingly sophisticated to respond to the expected increase in demand”, powered by ‘smart grids’ and the increasing weight of renewables in the energy mix, including the autonomous production of homes with the capacity to dump excess energy into the network.
Thus, he argues that the diversification of energy companies is reconfiguring a “more competitive” map given that sectors such as the automotive sector exert “greater stimulus and increase dependency on electricity“among citizens, so the need arises to ensure the capacity and quality of electrical distribution.
Minsait has also emphasized that innovation in utilities through AI also impacts in citizens and in professionals of the sector. “Due to the automation of processes, which allows its professionals dedicate yourself to higher value tasksand for the improvements it introduces in the customer service area,” he explained.
Regarding this, he has delved into the fact that artificial intelligence monitors and audits in an automated way communications so that companies can work on several lines in order to improve the experience and personalization of the service. All this contemplates from customer complaints about the offer of new products and services knowing what your interests are.
In this context, Minsait’s predictive potential works with artificial intelligence so that ‘utilities’ can improve predictive maintenance of your assetsincrease your operating time and reduce maintenance costs. An example of this is the Minsait project to predict weather events that can affect the supply of electricity.
“Thanks to AI, it was proven that, in addition to anticipating phenomena such as storms to prepare equipment and prevent them from affecting the transformation centers, it could be explained why at certain times the SLA could not be met, an agreement that commits the ‘utilities’ to the public administration to respond to the quality levels of the service. Companies can thus demonstrate that they are not responsible and, therefore, are not subject to the sanctions associated with non-compliance with these contracts,” Minsait has indicated.
Another line of activity is improving employee safety thanks to image recognition, since Minsait allows monitoring the use of personal protective equipmentthe dangerous interaction between man and machine and the detection of any event that may pose a risk to people and the operation.
“The ‘utilities’ scenario is a good scenario to develop two technologies of the future: federated learning — since many of these companies’ devices are decentralized— and quantum computing. This is especially interesting for energy markets, which require working in real timehandle a lot of information and process large amounts of data,” said the Indra subsidiary.
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