Clean energy powered by AI? It’s not fiction, it’s already fact!

In brief

An interim report by Lucy Yu, AI Champion for the Clean Energy sector, argues that artificial intelligence could help Britain operate a faster, smarter and lower-cost clean energy system, but only if deployment moves beyond isolated trials. As the grid becomes more decentralised, weather-dependent and complex, with more wind, solar, batteries, electric vehicles and heat pumps, AI could support forecasting, grid control, maintenance, planning, market design and faster decision-making. The report also highlights more advanced possibilities, such as AI-assisted control rooms trained on real grid operations and simulations, near-real-time supply chain management, self-healing systems and neighbourhood-level virtual power plants.

The report stresses that major barriers remain. Energy data is often fragmented, poorly standardised or difficult to access quickly enough for operational use, while promising AI projects often struggle to move from pilot stage into normal operations because costs and risks fall on individual companies even when benefits are system-wide. Trust is another central concern, especially for safety-critical decisions where testing, validation, monitoring and accountability must be clear. The review concludes that AI deployment is not only a technical challenge but also a matter of regulation, governance, skills and institutional readiness, and says the UK has an opportunity to become a leading place to develop, test and deploy AI for future electricity networks.

Source: Energy Live News

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