AI-powered electrification: shaping the future of an electrified world
Digital transformation
08 November 2024
6 min
Worker, electrification, wind turbines, Nexans

Electricity is the backbone of modern society, but as our world becomes more interconnected, the pressure on power grids is reaching unprecedented levels. How do we ensure a stable energy supply in a world driven by digital transformation, urbanization, and the increasing demand for renewable energy sources? The answer lies in artificial intelligence (AI) and real-time data. Grids are no longer just systems of cables and transformers; they’re becoming dynamic, self-regulating networks driven by intelligence.

Imagine a power grid that can predict, adapt, and self-optimize, making decisions faster than any human ever could. With AI and smart monitoring, that future isn’t just possible – it’s already happening.

Real-Time Insights: Controlling the invisible

At the heart of this transformation are AI-powered monitoring systems. These systems, equipped with Internet of Things (IoT) connected sensors, continuously collect real-time data on network and equipment operating conditions, such as temperature, voltage, and load. In a world where every second counts, this constant stream of data offers utilities an unparalleled window into the health of their infrastructure.

But what does this mean in practical terms? Let’s break it down:

  • On the micro level, AI algorithms detect and locate anomalies with pinpoint accuracy. A power line overheating in a remote area or a transformer on the brink of failure can now be identified and addressed before causing widespread blackouts.
  • On the macro level, machine learning algorithms analyze large streams of voltage and current data, visualizing where stress points are building up. With this knowledge, operators can balance loads in real-time, preventing overloads and ensuring electricity reaches the right places when needed most.

This new level of insight is transforming how operators manage their networks. Instead of reacting to failures, AI could allow operational teams to anticipate problems, and hence dramatically reducing downtime and improving reliability.

Efficiency at Scale: A Smarter Approach to Energy Distribution

Why stop at predicting failures? AI could also reshape how energy is distributed. By analyzing historical data and predicting future demand, we can imagine that in the future machine learning models would optimize and balance power flows so that electricity is delivered where it’s needed most – and at the lowest possible cost.

This is particularly critical as renewable energy sources, such as solar and wind, become a larger part of the energy mix. Unlike traditional power plants, renewables are inherently variable-solar panels don’t generate power at night, and wind turbines don’t spin when the air is still. AI-based flexibility and demand response softwares however, can forecast these fluctuations and adjust  operations accordingly, ensuring that the lights stay on no matter how the wind blows.

Manufacturing in the era of industry 4.0

Manufacturing in the Era of Industry 4.0

Beyond the grid itself, the electrification industry is undergoing a broader transformation thanks to Industry 4.0. Traditional manufacturing processes are being revolutionized by AI, cyber-physical systems, and IoT devices. Smart factories now use AI to detect patterns in production, reduce waste, and optimize processes, making the entire supply chain more efficient.

For instance, AI systems are digitizing legacy documents and processes, preserving historical knowledge while bringing it into the modern age. This fusion of past experience and cutting-edge technology allows manufacturers to innovate without losing sight of valuable lessons from the past. Smart manufacturing isn’t just about automation; it’s about intelligent decision-making that enhances production quality and operational efficiency.

These advancements aren’t just theoretical. They’re already reshaping the way electrical components are produced, making the entire supply chain smarter, faster, and more sustainable. In the near future, we’ll see fully automated factories that operate with minimal human intervention, relying on AI to make decisions in real-time.

A Roadmap to the Future: How is AI already powering electrification ?

A sustainable, electrified future is not a distant vision – it’s being built today and the recent outburst of AI technologies has already allowed Nexans to launch innovations that transform once-opportunities into concrete business breakthroughs for many actors of the electrification value chain:

  • Grid operators are now able to build in a few weeks-time digital twin replicas of their physical network out of incomplete and often inaccurate legacy data sources. AI and ML algorithms create highly precise assets connectivity models, enabling the implementation of transformational smart grid programs such as advanced distribution management systems.
  • Large electro-intensive industrial companies that rely on critical machinery uptime performance can optimize their capital expenditure and maximize asset utilization by leveraging predictive failure and asset/component obsolescence models, all while effectively managing risk
  • Thanks to AI-powered virtual power flow models, datacenter operators or critical building owners aiming at upgrading and modernizing their legacy equipments towards higher capability IT servers and more efficient cooling systems can determine whether their existing power infrastructure (cables, transformers, etc.) still remains fit for purpose.
  • Electrical contractors are now provided access to mobile apps with embedded AI computer-vision and augmented reality technology bricks that verify the proper preparation and installation of sensitive components such as medium voltage terminations, joints and connectors in order to ensure long term reliability performance of their infrastructure.

As we continue to innovate and push the boundaries of smart grid technology, partnerships are key to success. Nexans is partnering with an ecosystem of key actors of the sector to enhance the reliability and safety of modern power networks. Such partnerships enable the Group for example to integrate advanced AI-driven monitoring into medium-voltage cables systems, allowing for predictive maintenance, fault detection, and real-time diagnostics of these critical infrastructures.

Toward a Sustainable, Intelligent Future

The electrification industry is standing on the brink of a revolution. With AI at the helm, critical electrical infrastructures are becoming more resilient, efficient, and intelligent.

At the intersection of AI, IoT, and Industry 4.0, we’re entering a new era of electrification – one where power grids and large electrical infrastructures such as datacenters or gigafactories aren’t just networks of wires, substations, machines and robots, but dynamic systems capable of self-monitoring, self-healing, and optimizing themselves.

And while this future is already being realized by pioneers across the industry, some companies are leading the charge. Nexans, with its expertise in both electrification and digital transformation, is at the forefront of this revolution. Through its innovative solutions, Nexans is helping to shape the power infrastructures of tomorrow, ensuring that we not only meet the energy challenges of today but build a smarter, more connected future for generations to come.

Berenger Seveyrac

Authors

With extensive expertise in digital product management, cloud platforms, and enterprise architecture, Berenger Seveyrac leads, as CTO/Head of Digital, AI & Cloud Factory at Nexans, the company’s digital transformation and technological innovation for clients and partners. His international experience and diverse industry knowledge, including his roles at Adecco, Alptis group and Louis Dreyfus Company, bring a unique perspective to his leadership. Passionate about entrepreneurship and tech trends that add business value, he is committed to developing cloud-native solutions and fostering a culture of innovation. His vision is to leverage advanced technologies such as IoT, AI, and blockchain to drive the organization’s strategic goals and propel future growth.

Romain Ulrich

Romain Ulrich is a data scientist with over two years of experience at Nexans, where he manages SaaS solutions for Transmission System Operators (TSOs) and Distribution System Operators (DSOs). His expertise includes asset management, focusing on failure prediction, maintenance planning, and optimization to enhance the reliability and efficiency of energy infrastructure.