Innovation in electricity grids
Powering the future: AI & quantum computing for a smarter energy grid
AI and quantum computing are revolutionising energy grids by enhancing resilience and efficiency. From optimised battery placement to AI-driven weather forecasting, these technologies enable real-time decision-making, preventing outages and integrating renewables seamlessly, powering a smarter, more flexible grid for the energy transition.
Powering the future: AI & quantum computing for a smarter energy grid I FT Energy Source.
The energy transition is a fundamental process that involves integrating renewable sources into our energy system. However, to achieve this goal, we need smarter and more flexible power grids. In this context, artificial intelligence (AI) and quantum computing are emerging as technologies capable of transforming the way we transport the energy we consume.
The use of artificial intelligence in weather forecasting is a clear example of how these tools are improving the operation of power grids. At Iberdrola, we have the MeteoFlow system to estimate how much our various installations will produce. Thanks to its advanced algorithms, this software system can analyse real data that, in turn, allows the company to make decisions in advance to face weather events or adjust the grid in real time.
Quantum computing, for its part, offers new ways of tackling highly complex problems, such as selecting the number, type, and optimal location of a storage battery in the power grid. Compared to the limits of traditional algorithms, this technology enables the simultaneous evaluation of millions of scenarios, helping to find increasingly accurate solutions.
