A macro image of a processor or a graphic card, technological device storing memory, hardware close-up, neon led lights. Generative AI technology
  • Work will commence in September, with publication expected in December 2024
  • We will be accepting stakeholder contributions until Monday 28th October.
  • More information on how to contribute to POST research is available in our guidance for contributors.

The UK grid is facing regional renewable connection delays; insufficient infrastructure to cope with increased demand; and capacity bottlenecks brought about by network over-saturation and aging technologies. Currently, renewable generators are paid to reduce their outputs to maintain network stability, as opposed to building more infrastructure. With over 32 million smart meters in Great Britain, Artificial Intelligence (AI) and Machine Learning (ML) could prove to be an effective tool in addressing existing system limitations and enhancing energy security. According to the International Energy Agency and Stakeholders, AI could boost system efficiency; accelerate innovation; improve predictions of supply and demand; and transform the energy sector in the next 5-10 years.

This POSTnote will outline the energy system application of AI and Machine Learning. It will also consider the data, cybersecurity and ethical challenges that will need to be considered for application in the UK to enhance energy security.

Contact point(s): Daniel Lewis – lewisd@parliament.uk | Josh Oxby – oxbyj@parliament.uk

Photo by: Romana on Adobe Stock