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The Role of AI in the Energy Transition

The Role of AI in the Energy Transition
22 . Oct . 2023

The energy transition stands as a pivotal process in confronting environmental challenges and securing a sustainable future for our planet. Within this context, artificial intelligence (AI) emerges as a pivotal component driving the transformation of the energy sector. But what is the role of AI in this transition, and why does it hold such significance?

As articulated by our CEO, Domenico Villani, during Italian Tech Week in Turin, “AI serves as a potential catalyst, yet it is imperative to grasp the essence of both the national and global electrical grid. For AI to be effectively applied, it necessitates the prior digitization and subsequent automation of energy networks”. Digitization signifies the conversion of electrical energy distribution and transmission systems into technologically advanced infrastructures. This pivotal step facilitates real-time data gathering and analysis, setting the stage for AI implementation.

The automation of electrical grids enhances control flexibility and optimal resource management. Networks must possess the ability to swiftly and efficiently respond to fluctuations in energy production and consumption, and AI plays a foundational role in achieving this objective.

An integral facet of the energy transition involves the integration of renewable energy sources like solar and wind power into existing networks. These energy sources are characterized by inherent fluctuations and unpredictability, but AI contributes to effectively managing this variability. AI-driven monitoring systems can forecast renewable energy production based on weather conditions and forecasts, thereby facilitating improved utilization of these energy sources.

Furthermore, AI can pinpoint and diagnose energy losses within the network, whether stemming from technical failures or theft. This not only curtails expenses for energy companies but also enhances the reliability of energy provision. AI-guided preventive maintenance can detect potential issues before they materialize, thereby diminishing service interruptions.

In summary, the objective is a global, intelligent, and exceptionally efficient energy network capable of addressing the challenges posed by climate change and guaranteeing a sustainable energy supply for future generations. AI represents a critical component of this ambitious vision, offering innovative solutions and ushering in a brighter energy future for all.

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