In the renewable energy sector, generating clean electricity is no longer enough. The true measure of success now lies in the ability to anticipate, optimise, and respond in real time to the challenges of an increasingly competitive and volatile market. Producing energy remains essential, but it no longer guarantees efficiency or economic sustainability on its own. The future of energy depends on the ability to make better decisions, faster — and that is only possible with data and artificial intelligence (AI).
Over the past decade, Europe has witnessed an explosion in installed renewable capacity. The challenge is no longer just technological or engineering-based — it has become digital. How can we manage thousands of assets spread across multiple countries, exposed to different weather conditions, and ensure that every megawatt produced is maximised? The answer is clear: the digitalisation of asset management is not a trend — it’s a strategic urgency.
The case of Nadara clearly illustrates this journey. With over 4.2 GW of installed capacity and presence in 11 countries, the company faced a challenge common to many operators: fragmented systems, dispersed data, and slow analysis processes. Together, we developed a centralised data infrastructure that transformed this reality. The result? The time needed to integrate new portfolios dropped from four weeks to just three days. Access to reliable information became 75% faster. And automated analytics multiplied the speed of diagnosis and decision-making by five.
As João Santos, Head of Innovation, AI, Data and Analytics, explains, “The centralisation of data and the application of algorithms are enabling Nadara to make decisions more quickly, reduce operational costs, and anticipate risks.” This statement perfectly illustrates the tangible impact of artificial intelligence on day-to-day asset management and confirms that we are not talking about a distant future — but about a transformative present.
Beyond operational metrics, this progress translates into strategic gains: greater asset availability, lower costs, and an unprecedented ability to adjust production to market conditions in real time. When every hour of operational downtime can result in significant losses, the ability to predict failures, identify underperformance, or automatically calculate lost energy becomes a decisive competitive advantage.
I believe this transformation goes far beyond Nadara. We are witnessing the birth of a new energy infrastructure — not made of cables and turbines, but of data, algorithms, and insights. Just as physical power grids formed the foundation of electrification in the 20th century, artificial intelligence will be the foundation of decarbonisation in the 21st century.
The future of renewable energy will not be defined solely in solar or wind farms, but in digital decision centres. Those who master the ability to integrate data, anticipate scenarios, and transform information into action will lead the next phase of the energy transition. And that’s why I state with conviction: artificial intelligence is no longer just a tool — it is the new infrastructure of energy.
This article was originally published on Ambiente Magazine. You can read the full version here.
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