Artificial Intelligence and Renewable Energy Integration in the UK

Abstract

Opportunities and problems are presented by the increasing use of renewable energy in the UK power grid. Renewable energy sources such as wind, solar and others are important to achieve the net-zero target of the UK, but their unpredictability causes issues with grid stability, storage management and intermittency. An increasing number of people believe that Artificial Intelligence (AI) can help solve these problems by improving energy storage systems, increasing renewable production and adapting grid operations. Through a secondary investigation into scholars' functions, official documents and studies of professional cases, the study seriously examines how Artificial Intelligence is changing the renewable power market in the United Kingdom. Results show how an AI system can increase dependence and efficiency, especially in areas of advanced forecasting, smart grid optimisation, future maintenance and storage management. The analysis indicates that AI applications directly tackle core renewable energy integration problems, yielding significant optimization: 90 – 95% increase in forecasting accuracy for wind and solar power generation; driving maintenance planning and lowering operating costs by up to 30%, while increasing accessibility to equipment by 20%; thus enhancing the profitability of renewable assets, grid resilience and efficiency.  However, there are still issues with data security, regulator cohesion and openness. According to the findings of the study, Artificial Intelligence (AI) makes a great promise to speed up the UK's switch to sustainable power, but more empirical research and better rules are required.