How can we build an energy-secure future and prevent blackouts?

Customer Example

AEMO

In the new energy reality, the ability to make data-driven decisions at speed is often the difference between 'always on' and a pervasive threat of outages.

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The fragility of modern power systems

The global transition to cleaner energy sources is necessary, but it’s also a significant challenge. As nations move to control and reduce carbon emissions, integrating renewable energy into existing grids introduces complexities that can compromise stability. Recent events have underscored the vulnerabilities inherent in our modern power systems.
On 28 April 2025, a massive blackout swept across the Iberian Peninsula, affecting mainland Portugal, Spain, Andorra and parts of southwest France. The outage, which lasted up to ten hours in some areas, disrupted telecommunications, transportation and essential services, including hospitals and emergency response systems. Taken together with similar incidents worldwide, the lesson is clear: small deviations can cascade quickly, so resilience now depends on faster, data‑driven situational awareness. That imperative is shaping how grid and market operators modernize their digital core—leading directly to the Australian Energy Market Operator’s transformation with Fujitsu.

Strengthening energy resilience through digital transformation

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Energy resilience with digital foundations

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To mitigate system‑level risks such as frequency instability and cascading outages, the energy sector must embrace digital transformation. The International Energy Agency (IEA) estimates that digitalization could reduce electricity system costs by up to $80 billion annually through 2040. These savings stem from improved operational efficiency, reduced downtime and optimized maintenance schedules. Digital tools enable real‑time monitoring of grid conditions, allowing operators to detect anomalies promptly and respond effectively. Predictive maintenance algorithms can identify potential equipment failures before they occur, reducing the likelihood of unexpected outages. Moreover, integrating distributed energy resources, such as rooftop solar panels and electric vehicles, requires sophisticated management systems to balance supply and demand dynamically. Digital platforms facilitate this integration, ensuring that renewable energy sources contribute to grid stability rather than undermine it. As McKinsey notes in its research on AI and utilities, leading operators are now deploying machine‑learning models to forecast supply fluctuations and consumption patterns more accurately. This enables more precise load balancing and the prevention of frequency instability. The architectural point is simple: unified platforms and automated controls shorten response times when conditions shift.

Lessons from the blackouts

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Building a secure energy future

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What’s next?

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