Industrial AI and Predictive Maintenance: Enhancing Resilience in Energy and Utilities

In North America, hurricanes and wildfires have dominated headlines—resulting in outages to key resources across large areas.

Through 2024 and the start of 2025, several European countries have been affected by severe floods caused by prolonged heavy rains. Damage has been widespread, with overflowing river basins and landslides causing catastrophic damage. Weather events in locations such as U.S., Canada, Spain, and wider Europe, that we once called one-in-100 or one-in-1,000-year events, are now happening every year, sometimes multiple times a year.

With an outdated, vastly distributed network, the damaging effect of changing weather conditions, and a need to reduce emissions, E&U companies are in the middle of a perfect storm. E&U organizations need to be more strategic; this means assessing critical assets before and after a storm, investing where it matters, and planning for better resilience and restoration.

It’s no longer about how to play the defense game against climate change, it’s how to build a reliable future.

Infrastructure will only Keep Getting Older – A Recipe for Disaster 

Despite being outdated, much of North America’s assets are still operating. They are under immense pressure and struggling to match supply with demand. Extreme weather conditions are only causing aging assets to fail more frequently. These assets are not designed to operate in extreme conditions and frequent outages are having huge impacts on reliability.

First, some low hanging fruit to pick!

Prevention to the point of zero risk is financially impossible for E&U companies. But the cost of doing nothing is now higher than the cost of mitigation. The cost is now in human life, material damage, service supply, reputation, and the ability to secure insurance. There are steps companies can take immediately, but it’s a balancing act.

Elevating critical infrastructure will help to avoid flood damage—it’s what they’ve always done to housing in the Caribbean and SE Asia, and managing vegetation under power lines will reduce wildfire risks. In North America, utilities are starting to build underground to reduce the risk of downed lines and wildfires, yet this makes them more susceptible to flooding. Utilities need to break this down by regions, assess common weather events, and consider what mitigation risks can be put in place to reduce risk—whether that’s putting infrastructure on platforms, underground, or sectioning the grid to deenergize sections during an event.

Time to Exploit the Predictive Power of Meterological Data

Traditionally, utilities have implemented solutions like undergrounding lines in hurricane-prone areas, but with storms now veering into previously unaffected regions and lingering longer over land, even these mitigations are being outpaced. Hurricanes are changing their paths. They’re bringing floods to areas that never used to flood. Previous mitigation strategies need to step up to a new plate, one filled with meteorological data and trends. The E&U industry needs to work much more closely with the meteorologists to uncover what are the forecasts, and what these new trends are and will bring.

Now it's Down to Businesses with Infrastructure and Asset Mitigation Strategies

While energy generation facilities—especially centralized ones such as nuclear plants—are generally well-protected, the transmission and distribution (T&D) networks remain highly vulnerable. As energy generation becomes more distributed with the likes of solar and wind, the threat landscape is becoming even more complex.

While a transition to renewables is necessary, energy companies must consider grid reliability and cost. Saving the planet is often tertiary because overall, people do support green initiatives, but their primary motivations are about saving money and avoiding inconvenience.

As the Grid Becomes the Weakest Link, Renewables and Carbon Capture Step Up

For the E&U sector, reducing emissions has been placed at the forefront, and doing so through renewables is an established strategic goal. While distributed generation doesn’t prevent natural disasters, with careful planning and design, it does offer greater flexibility and resiliency.

Wildfires in 2024 alone emitted more carbon than was reduced by all industries' decarbonization efforts. We need carbon capture initiatives, not just footprint reduction, and this carbon capture must complement emission reduction to address climate change in a timely and holistic manner.

Industrial AI: Predicting with Certainty

Technology, particularly AI, is now playing a pivotal role in helping utilities adapt. From asset investment planning to predictive maintenance, Industrial AI solutions are allowing operators to better allocate resources, effectively oversee workforces, and manage risks proactively.

To support ambitions for clean power, policy attention has so far focused on building new offshore wind farms. However, with an originally anticipated average lifespan of 20-25 years, the earliest offshore wind farms are currently entering the final lifespan stage.

Maintaining these assets has always been critical, but now the focus is on extending the lifespan of these costly assets to get the highest return on investment possible. Energy companies are increasingly turning to predictive asset maintenance to extend the lifecycle of existing assets, keep optimization full, and ensure reliability in an extremely asset-intensive and relied-upon sector. With global reliance on water supply, sanitation, banking, communications, transport, and more, power outages very quickly cause chaos, and force operations to grind to a halt.  

Predictive maintenance can target when and where to extend the asset lifecycle and increase reliability. For example, 80% of the lost energy from wind turbines is due to poor maintenance of the blades.

In today’s climate, utilities can’t rely on “business as usual” and hope the problem will resolve itself. To better manage their assets and operations, new developments in risk-based AI-predictive asset maintenance are increasing the reliability of assets and the supply of renewable energy.

Emergency Management – Is the Sky Blue, Grey, or Are the Black Clouds Gathering?

The use of "Black Sky" planning helps energy companies prepare for large-scale outages and it’s now starting to become standard practice. Unlike “Blue Sky” daily operations or “Grey Sky” seasonal spikes, Black Sky scenarios involve total grid restarts (cold starts) after major disasters.

EDF Renewables UK and Ireland, the leading renewable energy company specializing in wind, solar, and battery technology, has chosen IFS Cloud to deliver Enterprise Asset Management (EAM) to support its ambitious growth plans to increase total green energy output produced by their onshore and offshore operations.

The use of Industrial AI can aid strategic investment planning. These tools identify critical assets and their risks, and supports predictive maintenance instead of routine scheduling. 

In addition, the coordination of complex restoration of activities after major disruptive events, emphasises the need for different scheduling strategies. Here’s where powerful Planning & Scheduling Optimization (PSO) solutions ensure restoration can be managed alongside normal daily operations.

The AI-Enhanced Toolkit is Ready

Aging infrastructure, changing weather-related threats, and the urgency to decarbonize makes it clear: business-as-usual is no longer an option. Mitigation strategies must go beyond outdated traditional practices, and instead leverage technology where AI has a key role to play in predictive analytics, risk analysis, and fast-acting PSO strategies to adapt to a challenging energy future. Want to learn more?