As mentioned above the attention towards predictive maintenance is rising in the energy market and for this reason, TSO and governments around the world are investing heavily in the digitalization of electric grids to enable the use of Artificial Intelligence and Machine Learning to predict failures and reduce breakdowns.
For example, Terna, the Italian Transmission System Operator (TSO), has included in its strategic plan 2020-2024 2.3 billion euros in investments for the digitization of the grid and the adoption of innovative or sustainable solutions to increase the quality of the service.
At the same time, ENEL, the main Italian Distribution System Operator (DSO), with its subsidiary e-Distribuzione, the second-largest utility in the world by capitalization, has included in its 2020-2022 strategic plan to invest 11.8 billion euros for the digitization and automation of networks.
Furthermore, thanks to the new Recovery and Resilience Plan the Italian government is planning to invest an additional stake of 4.11 billion euros to strengthen and digitize the infrastructure network.
Thanks to these investments it will be possible to enhance Smart Grids, strengthen the resilience of electrical grids and digitize infrastructures, allowing a smarter use of big data and real-time monitoring thanks to predictive maintenance software and the millions of field devices distributed on the power grid.