Mathematical models and machine learning have also been developed with the aim of optimising operation of the assets of large industrial centres, such as compressors and cogenerators, so as to maximise their energy efficiency without penalising the quality of the services provided.
A number of projects concerning predictive maintenance in thermoelectric and renewable energy plants are also under development. The goal of these projects is to combine AI and machine learning with more traditional techniques (such as oil analysis and visual inspections) with the aim of intercepting any malfunctions in advance and thereby reducing the impact of maintenance work in terms of magnitude and downtime.
The decision to internalise Artificial Intelligence-related skills has enabled the development of dozens of projects in this field in only a few years, ensuring Edison's ability to exploit emerging trends in this rapidly evolving sector.
The aim is to convert these new digital technologies into added value for the company and its customers, leveraging Edison's immense data resources.